M. Castelan, W. A. P.
Smith, and E. R. Hancock.
A coupled statistical model for face shape recovery from brightness images.
IEEE Transactions On Image Processing, 16(4):1139-1151, April
2007.
A. Torsello,
A. Robles-Kelly, and E. R. Hancock.
Discovering shape classes using tree edit-distance and pairwise clustering.
International Journal Of Computer Vision, 72(3):259-285, May
2007.
G. A. Atkinson
and E. R. Hancock.
Recovery of surface orientation from diffuse polarization.
IEEE Transactions On Image Processing, 15(6):1653-1664, June
2006.
A. G. Bors.
Watermarking mesh-based representations of 3-d objects using local moments.
IEEE Transactions On Image Processing, 15(3):687-701, March
2006.
S. L. Braunstein,
S. Ghosh, T. Mansour, S. Severini, and R. C. Wilson.
Some families of density matrices for which separability is easily tested.
Physical Review A, 73(1):012320, January 2006.
M. Castelan and
E. R. Hancock.
Acquiring height data from a single image of a face using local shape
indicators.
Computer Vision And Image Understanding, 103(1):64-79, July
2006.
M. Castelan
and E. R. Hancock.
A facial statistical model from complex numbers.
18th International Conference On Pattern Recognition, Vol 1, =
Proceedings, pages 235-238, 2006.
M. Castelan
and E. R. Hancock.
A simple coupled statistical model for 3d face shape recovery.
18th International Conference On Pattern Recognition, Vol 1, =
Proceedings, pages 231-234, 2006.
M. Castelan
and E. R. Hancock.
Using cartesian models of faces with a data-driven and integrable fitting
framework.
Image Analysis And Recognition, Pt 2, 4142:134-145, 2006.
M. Castelan,
W. A. P. Smith, and E. R. Hancock.
Approximating 3d facial shape from photographs using coupled statistical
models.
Progress In Pattern Recognition, Image Analysis And Applications,
Proceedings, 4225:89-98, 2006.
M. Castelan,
W. A. P. Smith, and E. R. Hancock.
A coupled statistical model for face shape recovery.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 4109:898-906, 2006.
A. Doshi and A. G.
Bors.
Robust diffusion of structural flows for volumetric image = interpolation.
Proceedings International Conference On Image Processing, Vols
1-7, pages 1225-1228, 2006.
A. Doshi and A. G. Bors.
Structural flow smoothing for shape interpolation.
18th International Conference On Pattern Recognition, Vol 3, =
Proceedings, pages 11-14, 2006.
D. Emms, E. R. Hancock,
S. Severini, and R. C. Wilson.
A matrix representation of graphs and its spectrum as a graph invariant.
Electronic Journal Of Combinatorics, 13(1):R34, April 2006.
D. Emms, R. C. Wilson, and
E. R. Hancock.
Graph matching using interference of coined quantum walks.
In ICPR, pages 133-136. IEEE Computer Society, 2006.
R. Fraile and E. R.
Hancock.
Combinatorial surface integration.
18th International Conference On Pattern Recognition, Vol 1, =
Proceedings, pages 59-62, 2006.
Y. Li, W. A. P. Smith, and
E. R. Hancock.
Face recognition using patch-based spin images.
18th International Conference On Pattern Recognition, Vol 1, =
Proceedings, pages 408-411, 2006.
Y. Li, W. A. P. Smith, and E. R.
Hancock.
Face recognition with region division and spin images.
Progress In Pattern Recognition, Image Analysis And Applications,
Proceedings, 4225:109-117, 2006.
B. Luo, R. C. Wilson, and E. R.
Hancock.
A spectral approach to learning structural variations in graphs.
Pattern Recognition, 39(6):1188-1198, June 2006.
N. Nasios and A. G.
Bors.
Variational learning for gaussian mixture models.
IEEE Transactions On Systems Man And Cybernetics Part
B-Cybernetics, 36(4):849-862, August 2006.
H. J. Qiu and E. R.
Hancock.
Graph embedding using commute time.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 4109:441-449, 2006.
H. J. Qiu and E. R.
Hancock.
Graph matching and clustering using spectral partitions.
Pattern Recognition, 39(1):22-34, January 2006.
H. J. Qiu and E. R.
Hancock.
Graph matching using commute time spanning trees.
18th International Conference On Pattern Recognition, Vol 3, =
Proceedings, pages 1224-1227, 2006.
H. J. Qiu and E. R.
Hancock.
Robust multi-body motion tracking using commute time clustering.
Computer Vision - Eccv 2006 , Pt 1, Proceedings, 3951:160-173,
2006.
H. J. Qiu and E. R.
Hancock.
Spanning trees from the commute times of random walks on graphs.
Image Analysis And Recognition, Pt 2, 4142:375-385, 2006.
H. Ragheb and
E. R. Hancock.
A light scattering model for layered rough surfaces.
Image Analysis And Recognition, Pt 2, 4142:169-180, 2006.
H. Ragheb and
E. R. Hancock.
Reflectance from surfaces with layers of variable roughness.
18th International Conference On Pattern Recognition, Vol 1, =
Proceedings, pages 543-546, 2006.
H. Ragheb and E. R.
Hancock.
Testing new variants of the beckmann-kirchhoff model against radiance data.
Computer Vision And Image Understanding, 102(2):145-168, May
2006.
A. Robles-Kelly and E. R. Hancock.
Point pattern matching via spectral geometry.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 4109:459-467, 2006.
W. A. P. Smith and
E. R. Hancock.
Estimating cast shadows using sfs and class-based surface completion.
18th International Conference On Pattern Recognition, Vol 4, =
Proceedings, pages 86-90, 2006.
W. A. P. Smith and
E. R. Hancock.
Estimating facial albedo from a single image.
International Journal Of Pattern Recognition And Artificial
Intelligence, 20(6):955-970, September 2006.
W. A. P. Smith and
E. R. Hancock.
Facial shadow removal.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 4109:569-577, 2006.
W. A. P. Smith and
E. R. Hancock.
Recovering facial shape using a statistical model of surface normal direction.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
28(12):1914-1930, December 2006.
A. Torsello and
E. R. Hancock.
Correcting curvature-density effects in the hamilton-jacobi skeleton.
IEEE Transactions On Image Processing, 15(4):877-891, April
2006.
A. Torsello
and E. R. Hancock.
Learning shape-classes using a mixture of tree-unions.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
28(6):954-967, June 2006.
H. F. Wang and E. R.
Hancock.
Correspondence matching using kernel principal components analysis and label
consistency constraints.
Pattern Recognition, 39(6):1012-1025, June 2006.
H. F. Wang and E. R.
Hancock.
Graph spectral approach to consistent labelling.
Image Analysis And Recognition, Pt 2, 4142:57-68, 2006.
H. F. Wang and E. R.
Hancock.
Probabilistic relaxation using the heat equation.
18th International Conference On Pattern Recognition, Vol 2, =
Proceedings, pages 666-669, 2006.
D. White and R. C.
Wilson.
Mixing spectral representations of graphs.
18th International Conference On Pattern Recognition, Vol 4, =
Proceedings, pages 140-144, 2006.
J. Wu, W. A. P. Smith, and E. R.
Hancock.
Gender classification using principal geodesic analysis and gaussian mixture
models.
Progress In Pattern Recognition, Image Analysis And Applications,
Proceedings, 4225:58-67, 2006.
B. Xiao
and E. R. Hancock.
A spectral generative model for graph structure.
In International Workshop on Structural and Syntactic Pattern
Recognition, 2006.
B. Xiao and E. R.
Hancock.
Trace formula analysis of graphs.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 4109:306-313, 2006.
H. Yu and E. R. Hancock.
String kernels for matching seriated graphs.
18th International Conference On Pattern Recognition, Vol 4, =
Proceedings, pages 224-228, 2006.
F. Zhang and E. R.
Hancock.
Edge detection and anisotropic diffusion for tensor-valued images.
Proceedings International Conference On Image Processing, Vols
1-7, pages 229-232, 2006.
F. Zhang and E. R.
Hancock.
Heat kernel smoothing of scalar and vector image data.
Proceedings International Conference On Image Processing, Vols
1-7, pages 1549-1552, 2006.
F. Zhang and E. R.
Hancock.
Riemannian graph diffusion for dt-mri regularization.
Medical Image Computing And Computer-Assisted Intervention - Miccai 2006,
Pt 2, 4191:234-242, 2006.
F. Zhang and E. R.
Hancock.
A riemannian weighted filter for edge-sensitive image smoothing.
18th International Conference On Pattern Recognition, Vol 3, =
Proceedings, pages 594-598, 2006.
F. Zhang and E. R.
Hancock.
Smoothing tensor-valued images using anisotropic geodesic diffusion.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 4109:83-91, 2006.
B. Ziolko, S. Manandhar,
and R. C. Wilson.
Phoneme segmentation of speech.
18th International Conference On Pattern Recognition, Vol 4, =
Proceedings, pages 282-285, 2006.
2005
G. Atkinson and
E. R. Hancock.
Recovery of surface height using polarization from two views.
Computer Analysis Of Images And Patterns, Proceedings,
3691:162-170, 2005.
G. A. Atkinson
and E. R. Hancock.
Analysis of directional reflectance and surface orientation using fresnel
theory.
Progress In Pattern Recognition, Image Analysis And Applications,
Proceedings, 3773:103-111, 2005.
G. A. Atkinson
and E. R. Hancock.
Multi-view surface reconstruction using polarization.
Tenth IEEE International Conference On Computer Vision, Vols 1 And 2,
Proceedings, pages 309-316, 2005.
X. Bai and E. R. Hancock.
Recent results on heat kernel embedding of graphs.
Graph-Based Representations In Pattern Recognition, Proceedings,
3434:373-382, 2005.
M. Castelan
and E. R. Hancock.
A comparison of cartesian coordinate-based representations for = building
three-dimensional models of faces.
2005 International Conference On Image Processing (Icip), Vols
1-5, pages 1293-1296, 2005.
M. Castelan
and E. R. Hancock.
Estimation of facial angular information using a complex-number-based
statistical model.
Progress In Pattern Recognition, Image Analysis And Applications,
Proceedings, 3773:327-338, 2005.
M. Castelan and
E. R. Hancock.
Fitting 3d cartesian models to faces using irradiance and integrability
constraints.
Image Analysis And Processing - Iciap 2005, Proceedings,
3617:876-883, 2005.
A. Doshi and A. G. Bors.
Optical flow diffusion with robustified kernels.
Computer Analysis Of Images And Patterns, Proceedings,
3691:222-230, 2005.
D. Emms, S. Severini, R. C.
Wilson, and E. R. Hancock.
Coined quantum walks lift the cospectrality of graphs and trees.
Energy Minimization Methods In Computer Vision And Pattern Recognition,
Proceedings, 3757:332-345, 2005.
D. Emms, S. Severini, R. C.
Wilson, and E. R. Hancock.
Towards unitary representations for graph matching.
Graph-Based Representations In Pattern Recognition, Proceedings,
3434:153-161, 2005.
B. Luo, R. C. Wilson, and E. R.
Hancock.
A linear generative model for graph structure.
Graph-Based Representations In Pattern Recognition, Proceedings,
3434:54-62, 2005.
N. Nasios and A. G.
Bors.
Finding the number of clusters for nonparametric segmentation.
Computer Analysis Of Images And Patterns, Proceedings,
3691:213-221, 2005.
N. Nasios and A. G.
Bors.
Nonparametric clustering using quantum mechanics.
2005 International Conference On Image Processing (Icip), Vols
1-5, pages 2581-2584, 2005.
N. Nasios and A. G.
Bors.
Variational segmentation of color images.
2005 International Conference On Image Processing (Icip), Vols
1-5, pages 1221-1224, 2005.
H. J. Qiu and E. R.
Hancock.
Commute times, discrete green's functions and graph matching.
Image Analysis And Processing - Iciap 2005, Proceedings,
3617:454-462, 2005.
H. J. Qiu and E. R.
Hancock.
Commute times for graph spectral clustering.
Computer Analysis Of Images And Patterns, Proceedings,
3691:128-136, 2005.
H. J. Qiu and E. R.
Hancock.
A robust graph partition method from the path-weighted adjacency matrix.
Graph-Based Representations In Pattern Recognition, Proceedings,
3434:362-372, 2005.
H. Ragheb and E. R.
Hancock.
Adding subsurface attenuation to the beckmann-kirchhoff theory.
Pattern Recognition And Image Analysis, Pt 2, Proceedings,
3523:247-254, 2005.
H. Ragheb and
E. R. Hancock.
Incorporating subsurface attenuation into the beckmann model.
2005 International Conference On Image Processing (Icip), Vols
1-5, pages 1353-1356, 2005.
H. Ragheb and
E. R. Hancock.
Surface radiance correction for shape from shading.
Pattern Recognition, 38(10):1574-1595, October 2005.
A. Robles-Kelly and E. R. Hancock.
Estimating the surface radiance function from single images.
Graphical Models, 67(6):518-548, November 2005.
A. Robles-Kelly and E. R. Hancock.
Graph edit distance from spectral seriation.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
27(3):365-378, March 2005.
A. Robles-Kelly and E. R. Hancock.
A graph-spectral method for surface height recovery.
Pattern Recognition, 38(8):1167-1186, August 2005.
F. Sartori and
E. R. Hancock.
Vector transport for shape-from-shading.
Pattern Recognition, 38(8):1239-1260, August 2005.
W. A. P. Smith and
E. R. Hancock.
Coupled statistical face reconstruction.
Computer Analysis Of Images And Patterns, Proceedings,
3691:153-161, 2005.
W. A. P. Smith and
E. R. Hancock.
Estimating the albedo map of a face from a single image.
2005 International Conference On Image Processing (Icip), Vols
1-5, pages 3069-3072, 2005.
W. A. P. Smith and
E. R. Hancock.
Face recognition using a surface normal model.
Image Analysis And Processing - Iciap 2005, Proceedings,
3617:423-430, 2005.
W. A. P. Smith and
E. R. Hancock.
A model-based method for face shape recovery.
Pattern Recognition And Image Analysis, Pt 1, Proceedings,
3522:268-276, 2005.
W. A. P. Smith and
E. R. Hancock.
Recovering facial shape and albedo using a statistical model of = surface
normal direction.
Tenth IEEE International Conference On Computer Vision, Vols 1 And 2,
Proceedings, pages 588-595, 2005.
W. A. P. Smith and
E. R. Hancock.
Recovering facial shape using a statistical surface normal model.
2005 International Conference On Image Processing (Icip), Vols
1-5, pages 1809-1812, 2005.
W. A. P. Smith and
E. R. Hancock.
Single image estimation of facial albedo maps.
Brain, Vision, And Artificial Intelligence, Proceedings,
3704:517-526, 2005.
X. F. Sun and E. R.
Hancock.
3d triangular mesh parametrization using locally linear embedding.
Computer Analysis Of Images And Patterns, Proceedings,
3691:96-103, 2005.
X. F. Sun and E. R.
Hancock.
Locally linear isometric parameterization.
Energy Minimization Methods In Computer Vision And Pattern Recognition,
Proceedings, 3757:552-567, 2005.
H. F. Wang and E. R.
Hancock.
Improving correspondence matching using label consistency constraints.
Pattern Recognition And Image Analysis, Pt 1, Proceedings,
3522:235-242, 2005.
H. F. Wang and E. R.
Hancock.
Kernel spectral correspondence matching using label consistency constraints.
Image Analysis And Processing - Iciap 2005, Proceedings,
3617:503-510, 2005.
R. C. Wilson, E. R.
Hancock, and B. Luo.
Pattern vectors from algebraic graph theory.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
27(7):1112-1124, July 2005.
(PDF, 2003695 bytes)
B. Xiao and E. R.
Hancock.
Clustering shapes using heat content invariants.
2005 International Conference On Image Processing (Icip), Vols
1-5, pages 125-128, 2005.
B. Xiao and E. R.
Hancock.
Geometric characterisation of graphs.
Image Analysis And Processing - Iciap 2005, Proceedings,
3617:471-478, 2005.
B. Xiao and E. R.
Hancock.
Graph clustering using heat content invariants.
Pattern Recognition And Image Analysis, Pt 2, Proceedings,
3523:123-130, 2005.
H. Yu and E. R. Hancock.
Eigenspaces from seriated graphs.
Computer Analysis Of Images And Patterns, Proceedings,
3691:179-187, 2005.
H. Yu and E. R. Hancock.
Graph seriation using semi-definite programming.
Graph-Based Representations In Pattern Recognition, Proceedings,
3434:63-71, 2005.
H. Yu and E. R. Hancock.
Machine learning with seriated graphs.
Pattern Recognition And Image Analysis, Pt 2, Proceedings,
3523:155-162, 2005.
F. Zhang and E. R.
Hancock.
Image scale-space from the heat kernel.
Progress In Pattern Recognition, Image Analysis And Applications,
Proceedings, 3773:181-192, 2005.
F. Zhang, H. J. Qiu, and
E. R. Hancock.
Evolving spanning trees using the heat equation.
Computer Analysis Of Images And Patterns, Proceedings,
3691:272-279, 2005.
P. Zhu and R. C. Wilson.
Stability of the eigenvalues of graphs.
Computer Analysis Of Images And Patterns, Proceedings,
3691:371-378, 2005.
2004
A. Al Shaher and
E. R. Hancock.
A hierarchical framework for shape recognition using articulated shape
mixtures.
Image Analysis And Recognition, Pt 1, Proceedings, 3211:335-343,
2004.
A. A.
Al-Shaher and E. R. Hancock.
Modelling human shape with articulated shape mixtures.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 3138:304-314, 2004.
A. A.
Al-Shaher and E. R. Hancock.
A probabilistic framework for articulated shape recognition.
Articulated Motion And Deformable Objects, Proceedings,
3179:62-75, 2004.
X. Bai and E. R. Hancock.
Heat kernels, manifolds and graph embedding.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 3138:198-206, 2004.
X. Bai, H. Yu, and E. R.
Hancock.
Graph matching using spectral embedding and alignment.
Proceedings Of The 17th International Conference On Pattern Recognition,
Vol 3, pages 398-401, 2004.
A. G. Bors.
Mind watermarking of 3d shapes using localized constraints.
2nd International Symposium On 3d Data Processing, Visualization, And
Transmission, Proceedings, pages 242-249, 2004.
A. G. Bors.
Watermarking 3d shapes using local moments.
Icip: 2004 International Conference On Image Processing, Vols 1-
5, pages 729-732, 2004.
M. Castelan
and E. R. Hancock.
Acquiring height maps of faces from a single image.
2nd International Symposium On 3d Data Processing, Visualization, And
Transmission, Proceedings, pages 183-190, 2004.
M. Castelan
and E. R. Hancock.
Combining data-closeness and fourier domain integrability constraints in
shape-from-shading.
Proceedings Of The 17th International Conference On Pattern Recognition,
Vol 3, pages 115-118, 2004.
M. Castelan and
E. R. Hancock.
Improving height recovery from a single image of a face using local shape
indicators.
Image Analysis And Recognition, Pt 1, Proceedings, 3211:613-620,
2004.
M. Castelan
and E. R. Hancock.
A method for re-illuminating faces from a single image.
Progress In Pattern Recognition, Image Analysis And Applications,
3287:267-274, 2004.
M. A. T.
Figueiredo, E. R. Hancock, M. Pelillo, and J. Zerubia.
Guest editors' introduction to the special section on energy minimization
methods in computer vision and pattern recognition.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
26(2):145-146, February 2004.
A. Hughes and R. C.
Wilson.
Scale descriptors through phase unwrapping.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 3138:530-537, 2004.
Y. Li and E. R. Hancock.
Face recognition using shading-based curvature attributes.
Proceedings Of The 17th International Conference On Pattern Recognition,
Vol 3, pages 538-541, 2004.
Y. Li and E. R. Hancock.
Face recognition with generalized entropy measurements.
Image Analysis And Recognition, Pt 2, Proceedings, 3212:733-740,
2004.
N. Ludtke and R. C.
Wilson.
Contour segments from spline interpolation.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 3138:134-142, 2004.
B. Luo, R. C. Wilson, and
E. R. Hancock.
Graph manifolds from spectral polynomials.
Proceedings Of The 17th International Conference On Pattern Recognition,
Vol 3, pages 402-405, 2004.
B. Luo, R. C. Wilson, and
E. R. Hancock.
Graph pattern spaces from laplacian spectral polynomials.
Image Analysis And Recognition, Pt 1, Proceedings, 3211:327-334,
2004.
N. Nasios and A. G.
Bors.
A variational approach for color image segmentation.
Proceedings Of The 17th International Conference On Pattern Recognition,
Vol 1, pages 680-683, 2004.
H. J. Qiu and E. R.
Hancock.
Grey scale image skeletonisation from noise-damped vector potential.
Proceedings Of The 17th International Conference On Pattern Recognition,
Vol 2, pages 839-842, 2004.
H. J. Qiu and E. R.
Hancock.
Grey scale skeletonisation with curvature sensitive noise damping.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 3138:461-469, 2004.
H. J. Qiu and E. R.
Hancock.
Spectral simplification of graphs.
Computer Vision - Eccv 2004, Pt 4, 2034:114-126, 2004.
H. Ragheb and
E. R. Hancock.
Surface normals and height from non-lambertian image data.
2nd International Symposium On 3d Data Processing, Visualization, And
Transmission, Proceedings, pages 18-25, 2004.
H. Ragheb and E. R.
Hancock.
Surface radiance: Empirical data against model predictions.
Icip: 2004 International Conference On Image Processing, Vols 1-
5, pages 2689-2692, 2004.
H. Ragheb,
A. Robles-Kelly, and E. R. Hancock.
Testing reflectance models against radiance data.
2nd International Symposium On 3d Data Processing, Visualization, And
Transmission, Proceedings, pages 880-887, 2004.
A. Robles-Kelly and E. R. Hancock.
Correction of underexposed images using scene radiance estimation.
Icip: 2004 International Conference On Image Processing, Vols 1-
5, pages 1827-1830, 2004.
A. Robles-Kelly and E. R. Hancock.
Estimating the surface radiance function from single images.
2nd International Symposium On 3d Data Processing, Visualization, And
Transmission, Proceedings, pages 494-501, 2004.
A. Robles-Kelly and E. R. Hancock.
A graph-spectral approach to shape-from-shading.
IEEE Transactions On Image Processing, 13(7):912-926, July
2004.
A. Robles-Kelly and E. R. Hancock.
A probabilistic spectral framework for grouping and segmentation.
Pattern Recognition, 37(7):1387-1405, July 2004.
A. Robles-Kelly and E. R. Hancock.
Radiance function estimation for object classification.
Progress In Pattern Recognition, Image Analysis And Applications,
3287:67-75, 2004.
A. Robles-Kelly and E. R. Hancock.
Spanning tree recovery via random walks in a riemannian manifold.
Progress In Pattern Recognition, Image Analysis And Applications,
3287:303-311, 2004.
A. Robles-Kelly and E. R. Hancock.
Steady state random walks for path estimation.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 3138:143-152, 2004.
A. Robles-Kelly and E. R. Hancock.
String edit distance, random walks and graph matching.
International Journal Of Pattern Recognition And Artificial
Intelligence, 18(3):315-327, May 2004.
A. Robles-Kelly and E. R. Hancock.
Surface height recovery from surface normals using manifold embedding.
Icip: 2004 International Conference On Image Processing, Vols 1-
5, pages 2107-2110, 2004.
A. Robles-Kelly and E. R. Hancock.
Surface height recovery using heat flow and manifold embedding.
2nd International Symposium On 3d Data Processing, Visualization, And
Transmission, Proceedings, pages 860-867, 2004.
A. Robles-Kelly and E. R. Hancock.
Vector field smoothing via heat flow.
Proceedings Of The 17th International Conference On Pattern Recognition,
Vol 2, pages 94-97, 2004.
W. A. P. Smith,
A. Robles-Kelly, and E. R. Hancock.
Facial view synthesis from a single image using shape from shading.
2nd International Symposium On 3d Data Processing, Visualization, And
Transmission, Proceedings, pages 510-517, 2004.
W. A. P. Smith,
A. Robles-Kelly, and E. R. Hancock.
Reflectance correction for perspiring faces.
Icip: 2004 International Conference On Image Processing, Vols 1-
5, pages 1389-1392, 2004.
W. A. P. Smith,
A. Robles-Kelly, and E. R. Hancock.
Skin reflectance modelling for face recognition.
Proceedings Of The 17th International Conference On Pattern Recognition,
Vol 3, pages 210-213, 2004.
A. Torsello
and E. R. Hancock.
Learning mixtures of weighted tree-unions by minimizing description length.
Computer Vision - Eccv 2004, Pt 3, 3023:13-25, 2004.
A. Torsello and
E. R. Hancock.
A skeletal measure of 2d shape similarity.
Computer Vision And Image Understanding, 95(1):1-29, July
2004.
H. F. Wang and E. R.
Hancock.
A kernel view of spectral point pattern matching.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 3138:361-369, 2004.
R. C. Wilson.
A coupled relaxation method for finding perceptual structures.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 3138:224-232, 2004.
R. C. Wilson and
E. R. Hancock.
Levenshtein distance for graph spectral features.
Proceedings Of The 17th International Conference On Pattern Recognition,
Vol 2, pages 489-492, 2004.
R. C. Wilson and
E. R. Hancock.
Spectral analysis of complex laplacian matrices.
Structural, Syntactic, And Statistical Pattern Recognition,
Proceedings, 3138:57-65, 2004.
2003
A. Al Shaher and
E. R. Hancock.
Arabic character recognition using structural shape decomposition.
Computer Analysis Of Images And Patterns, Proceedings,
2756:478-486, 2003.
A. A.
Al-Shaher and E. R. Hancock.
Learning mixtures of point distribution models with the em algorithm.
Pattern Recognition, 36(12):2805-2818, December 2003.
A. G. Bors, E. R. Hancock,
and R. C. Wilson.
Terrain analysis using radar shape-from-shading.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
25(8):974-992, August 2003.
M. Carcassoni and E. R. Hancock.
Correspondence matching with modal clusters.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
25(12):1609-1615, December 2003.
(PDF, 829206 bytes)
M. Carcassoni and E. R. Hancock.
Spectral correspondence for point pattern matching.
Pattern Recognition, 36(1):193-204, January 2003.
M. Castelan and
E. R. Hancock.
Imposing integrability in geometric shape-from-shading.
Progress In Pattern Recognition, Speech And Image Analysis,
2905:196-203, 2003.
M. A. T.
Figueiredo, E. R. Hancock, M. Pelillo, and J. Zerubia.
Guest editors' introduction to the special section on energy minimization
methods in computer vision and pattern recognition.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
25(11):1361-1363, November 2003.
A. Hughes and R. C.
Wilson.
A spectral analysis of perceptual shape variation.
12th International Conference On Image Analysis And Processing,
Proceedings, pages 38-43, 2003.
N. Ludtke and R. C.
Wilson.
A mixture model for population codes of gabor filters.
IEEE Transactions On Neural Networks, 14(4):794-803, July 2003.
(PDF, 346708 bytes)
B. Luo and E. R. Hancock.
A unified framework for alignment and correspondence.
Computer Vision And Image Understanding, 92(1):26-55, October
2003.
B. Luo, R. C. Wilson, and
E. R. Hancock.
Learning modes of structural variation in graphs.
2003 International Conference On Image Processing, Vol 2,
Proceedings, pages 37-40, 2003.
B. Luo, R. C. Wilson, and
E. R. Hancock.
A spectral approach to learning structural variations in graphs.
Computer Vision Systems, Proceedings, 2626:407-417, 2003.
B. Luo, R. C. Wilson, and
E. R. Hancock.
Spectral clustering of graphs.
Graph Based Representations In Pattern Recognition, Proceedings,
2726:190-201, 2003.
B. Luo, R. C. Wilson, and
E. R. Hancock.
Spectral clustering of graphs.
Computer Analysis Of Images And Patterns, Proceedings,
2756:540-548, 2003.
B. Luo, R. C. Wilson, and
E. R. Hancock.
Spectral embedding of graphs.
Pattern Recognition, 36(10):2213-2230, October 2003.
N. Nasios and A. G.
Bors.
Blind source separation using variational expectation-maximization algorithm.
Computer Analysis Of Images And Patterns, Proceedings,
2756:442-450, 2003.
N. Nasios and A. G.
Bors.
Variational expectation-maximization training for gaussian networks.
2003 IEEE Xiii Workshop On Neural Networks For Signal Processing -
Nnsp'03, pages 339-348, 2003.
N. Nasios and A. G.
Bors.
Variational gaussian mixtures for blind source detection.
2003 IEEE International Conference On Systems, Man And Cybernetics, Vols
1-5, Conference Proceedings, pages 474-479, 2003.
H. J. Qiu and E. R.
Hancock.
Graph partition for matching.
Graph Based Representations In Pattern Recognition, Proceedings,
2726:178-189, 2003.
H. Ragheb and
E. R. Hancock.
Darboux smoothing for shape-from-shading.
Pattern Recognition Letters, 24(1-3):579-595, January 2003.
H. Ragheb and
E. R. Hancock.
Estimating surface characteristics using physical reflectance models.
2003 IEEE Computer Society Conference On Computer Vision And Pattern
Recognition, Vol Ii, Proceedings, pages 177-184, 2003.
H. Ragheb and
E. R. Hancock.
Improving shape recovery by estimating properties of slightly-rough surfaces.
12th International Conference On Image Analysis And Processing,
Proceedings, pages 32-37, 2003.
H. Ragheb and E. R.
Hancock.
A probabilistic framework for specular shape-from-shading.
Pattern Recognition, 36(2):407-427, February 2003.
H. Ragheb and
E. R. Hancock.
Rough surface correction and re-illumination using the modified beckmann model.
Computer Analysis Of Images And Patterns, Proceedings,
2756:98-106, 2003.
H. Ragheb and
E. R. Hancock.
Rough surface estimation using the kirchhoff model.
Image Analysis, Proceedings, 2749:477-484, 2003.
A. Robles-Kelly and E. R. Hancock.
Edit distance from graph spectra.
Ninth IEEE International Conference On Computer Vision, Vols I And Ii,
Proceedings, pages 234-241, 2003.
A. Robles-Kelly and E. R. Hancock.
An eigenvector method for shape-from-shading.
12th International Conference On Image Analysis And Processing,
Proceedings, pages 474-479, 2003.
A. Robles-Kelly and E. R. Hancock.
Graph matching using spectral seriation.
Energy Minimization Methods In Computer Vision And Pattern Recognition,
Proceedings, 2683:517-532, 2003.
A. Robles-Kelly and E. R. Hancock.
Graph matching using spectral seriation and string edit distance.
Graph Based Representations In Pattern Recognition, Proceedings,
2726:154-165, 2003.
A. Robles-Kelly and E. R. Hancock.
A graph-spectral method for surface height recovery.
Mathematics Of Surfaces, Proceedings, 2768:163-181, 2003.
A. Robles-Kelly, A. G. Bors, and E. R. Hancock.
Surface acquisition from single gray-scale images.
2003 International Conference On Image Processing, Vol 3,
Proceedings, pages 721-724, 2003.
F. Sartori and
E. R. Hancock.
Combining curvature evidence to shape-from-shading.
2003 International Conference On Image Processing, Vol 3,
Proceedings, pages 709-712, 2003.
F. Sartori and
E. R. Hancock.
Curvature consistency for shape-from-shading.
Image Analysis, Proceedings, 2749:67-74, 2003.
F. Sartori and
E. R. Hancock.
Vector transport for shape-from-shading.
Mathematics Of Surfaces, Proceedings, 2768:142-162, 2003.
A. Torsello and
E. R. Hancock.
Computing approximate tree edit distance using relaxation labeling.
Pattern Recognition Letters, 24(8):1089-1097, May 2003.
A. Torsello
and E. R. Hancock.
Curvature correction of the hamilton-jacobi skeleton.
2003 IEEE Computer Society Conference On Computer Vision And Pattern
Recognition, Vol 1, Proceedings, pages 828-834, 2003.
A. Torsello
and E. R. Hancock.
Curvature dependent skeletonization.
Image Analysis, Proceedings, 2749:200-207, 2003.
A. Torsello
and E. R. Hancock.
Curvature dependent skeletonization.
2003 International Conference On Image Processing, Vol 1,
Proceedings, pages 337-340, 2003.
A. Torsello
and E. R. Hancock.
Graph clustering with tree-unions.
Computer Analysis Of Images And Patterns, Proceedings,
2756:451-459, 2003.
A. Torsello
and E. R. Hancock.
Learning mixtures of tree-unions by minimizing description length.
Energy Minimization Methods In Computer Vision And Pattern Recognition,
Proceedings, 2683:130-146, 2003.
A. Torsello
and E. R. Hancock.
Tree edit distance from information theory.
Graph Based Representations In Pattern Recognition, Proceedings,
2726:71-82, 2003.
R. C. Wilson and
E. R. Hancock.
Pattern spaces from graph polynomials.
12th International Conference On Image Analysis And Processing,
Proceedings, pages 480-485, 2003.
R. C. Wilson and
E. R. Hancock.
A study of pattern recovery in recurrent correlation associative memories.
IEEE Transactions On Neural Networks, 14(3):506-519, May 2003.
P. L.
Worthington and E. R. Hancock.
Coarse view synthesis using shape-from-shading.
Pattern Recognition, 36(2):439-449, February 2003.
2002
A. A.
Al-Shaher and E. R. Hancock.
Fast on-line learning of point distribution models.
16th International Conference On Pattern Recognition, Vol Ii,
Proceedings, pages 208-211, 2002.
A. G. Bors and E. R.
Hancock.
Recovering height information from sar images of terrain.
2002 International Conference On Image Processing, Vol Ii,
Proceedings, pages 477-480, 2002.
M. Carcassoni and E. R. Hancock.
A hierarchical framework for spectral correspondence.
Computer Vison - Eccv 2002, Pt 1, 2350:266-281, 2002.
M. Carcassoni and E. R. Hancock.
Point-set alignment using multidimensional scaling.
16th International Conference On Pattern Recognition, Vol Ii,
Proceedings, pages 402-405, 2002.
M. Carcassoni,
E. Ribeiro, and E. R. Hancock.
Eigenvector method for texture recognition.
2002 International Conference On Image Processing, Vol Iii,
Proceeddings, pages 321-324, 2002.
M. Carcassoni,
E. Ribeiro, and E. R. Hancock.
Texture recognition through modal analysis of spectral peak patterns.
16th International Conference On Pattern Recognition, Vol I,
Proceedings, pages 243-246, 2002.
K. N. Choi, M. Carcassoni,
and E. R. Hancock.
Recovering facial pose with the em algorithm.
Pattern Recognition, 35(10):2073-2093, October 2002.
K. N. Choi, P. L.
Worthington, and E. R. Hancock.
Estimating facial pose using shape-from-shading.
Pattern Recognition Letters, 23(5):533-548, March 2002.
T. Harte and A. G. Bors.
Watermarking 3d models.
2002 International Conference On Image Processing, Vol Iii,
Proceeddings, pages 661-664, 2002.
T. Harte and A. G.
Bors.
Watermarking graphical objects.
Dsp 2002: 14th International Conference On Digital Signal Processing
Proceedings, Vols 1 And 2, pages 709-712, 2002.
B. Huet and E. R.
Hancock.
Relational object recognition from large structural libraries.
Pattern Recognition, 35(9):1895-1915, September 2002.
N. Ludtke, L. Bin,
E. Hancock, and R. C. Wilson.
Corner detection using a mixture model of edge orientation.
16th International Conference On Pattern Recognition, Vol Ii,
Proceedings, pages 574-577, 2002.
N. Ludtke, R. C. Wilson,
and E. R. Hancock.
Population coding of multiple edge orientation.
Artificial Neural Networks - Icann 2002, 2415:1261-1267, 2002.
N. Ludtke, R. C.
Wilson, and E. R. Hancock.
Probabilistic population coding of multiple edge orientation.
2002 International Conference On Image Processing, Vol Ii,
Proceedings, pages 865-868, 2002.
B. Luo and E. R. Hancock.
Iterative procrustes alignment with the em algorithm.
Image And Vision Computing, 20(5-6):377-396, April 2002.
B. Luo, R. C. Wilson, and
E. R. Hancock.
Eigenspaces for graphs from spectral features.
Second Internation Conference On Image And Graphics, Pts 1 And 2,
4875:772-779, 2002.
B. Luo, R. C. Wilson, and
E. R. Hancock.
Graph spectral approach for learning view structure.
16th International Conference On Pattern Recognition, Vol Iii,
Proceedings, pages 785-788, 2002.
B. Luo, R. C. Wilson, and
E. R. Hancock.
The independent and principal component of graph spectra.
16th International Conference On Pattern Recognition, Vol Ii,
Proceedings, pages 164-167, 2002.
B. Luo, R. C. Wilson, and
E. R. Hancock.
Object recognition by clustering spectral features.
2002 International Conference On Image Processing, Vol I,
Proceedings, pages 429-432, 2002.
H. Ragheb and E. R.
Hancock.
Highlight removal using shape-from-shading.
Computer Vision - Eccv 2002, Pt Ii, 2351:626-641, 2002.
H. Ragheb and
E. R. Hancock.
Lambertian reflectance correction for rough and shiny surfaces.
2002 International Conference On Image Processing, Vol Ii,
Proceedings, pages 553-556, 2002.
H. Ragheb and
E. R. Hancock.
A probabilistic framework for specular shape-from-shading.
16th International Conference On Pattern Recognition, Vol Iii,
Proceedings, pages 513-516, 2002.
H. Ragheb and
E. R. Hancock.
Shape-from-shading using viewpoint-invariant principal curvatures.
2002 International Conference On Image Processing, Vol Ii,
Proceedings, pages 577-580, 2002.
E. Ribeiro and
E. R. Hancock.
Estimating the perspective pose of texture planes using spectral analysis on
the unit sphere.
Pattern Recognition, 35(10):2141-2163, October 2002.
E. Ribeiro,
A. Robles-Kelly, and E. R. Hancock.
Detecting multiple texture planes using local spectral distortion.
Image And Vision Computing, 20(9-10):739-750, August 2002.
E. Ribeiro,
F. Sartori, and E. R. Hancock.
An evidence combining approach to shape-from-shading.
16th International Conference On Pattern Recognition, Vol I,
Proceedings, pages 624-627, 2002.
A. Robles-Kelly and E. R. Hancock.
An expectation-maximisation framework for segmentation and grouping.
Image And Vision Computing, 20(9-10):725-738, August 2002.
A. Robles-Kelly and E. R. Hancock.
A graph-spectral approach to correspondence matching.
16th International Conference On Pattern Recogniton, Vol Iv,
Proceedings, pages 176-179, 2002.
A. Robles-Kelly and E. R. Hancock.
A graph spectral approach to shape-from-shading.
2002 International Conference On Image Processing, Vol Ii,
Proceedings, pages 569-572, 2002.
A. Robles-Kelly and E. R. Hancock.
A graph-spectral approach to surface segmentation.
16th International Conference On Pattern Recognition, Vol Iii,
Proceedings, pages 509-512, 2002.
A. Robles-Kelly and E. R. Hancock.
Model acquisition using shape-from-shading.
Articulated Motion And Deformable Objects, Proceedings,
2492:43-55, 2002.
A. Robles-Kelly and E. R. Hancock.
Pairwise clustering with matrix factorisation and the em algorithm.
Computer Vision - Eccv 2002, Pt Ii, 2351:63-77, 2002.
A. Robles-Kelly, S. Sarkar, and E. R. Hancock.
A fast leading eigenvector approximation for segmentation and grouping.
16th International Conference On Pattern Recognition, Vol Ii,
Proceedings, pages 639-642, 2002.
G. D. J. Smith and A. G.
Bors.
Height estimation from vector fields of surface normals.
Dsp 2002: 14th International Conference On Digital Signal Processing
Proceedings, Vols 1 And 2, pages 1031-1034, 2002.
A. Torsello and
E. R. Hancock.
Matching and embedding through edit-union of trees.
Computer Vision - Eccv 2002 Pt Iii, 2352:822-836, 2002.
A. Torsello
and E. R. Hancock.
Shape-space from tree-union.
16th International Conference On Pattern Recognition, Vol I,
Proceedings, pages 188-191, 2002.
2001
A. G. Bors, L. Kechagias, and
I. Pitas.
Shape - based interpolation using morphological morphing.
2001 International Conference On Image Processing, Vol Ii,
Proceedings, pages 161-164, 2001.
M. Carcassoni and E. R. Hancock.
A hierarchical framework for modal correspondence matching.
11th International Conference On Image Analysis And Processing,
Proceedings, pages 327-332, 2001.
C. D. Coltman and
A. G. Bors.
Hierarchical watermarking depending on local constraints.
2001 International Conference On Image Processing, Vol Iii,
Proceedings, pages 1011-1014, 2001.
E. R. Hancock
and R. C. Wilson.
Contribution to the discussion of the paper by mardia and glasbey.
Journal of the Royal Statistical Society, Series-B, 63:492-514,
2001.
L. Kechagias, A. G.
Bors, and L. Pitas.
Virtual drilling - sculpturing in 3-d volumes.
Proceedings Of The 23rd Annual International Conference Of The IEEE
Engineering In Medicine And Biology Society, Vols 1-4 - Building New Bridges
At The Frontiers Of Engineering And Medicine, 23:2513-2519, 2001.
B. Luo and E. R.
Hancock.
A robust eigendecomposition framework for inexact graph-matching.
11th International Conference On Image Analysis And Processing,
Proceedings, pages 465-470, 2001.
B. Luo and E. R. Hancock.
Structural graph matching using the em algorithm and singular value
decomposition.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
23(10):1120-1136, October 2001.
(PDF, 3982174 bytes)
B. Luo,
A. Robles-Kelly, A. Torsello, R. Wilson, and E.R. Hancock.
Clustering shock-trees.
3rd IAPR-TC15 Workshop on Graph-based Representations in Pattern
Recognition, pages 125-136, 2001.
B. Luo,
A. Robles-Kelly, A. Torsello, R. Wilson, and E.R. Hancock.
Discovering shape categories by clustering shock trees.
Springer Lecture notes in Computer Science, pages 151-160,
2001.
B. Luo,
A. Robles-Kelly, A. Torsello, R. Wilson, and E.R. Hancock.
Learning shape categories by clustering shock trees.
IEEE Signal Processing Society International Conference on Image
Processing 2001, Thessaloniki, Greece, page to appear, 2001.
B. Luo, A. Robles-Kelly,
A. Torsello, R. C. Wilson, and E. R. Hancock.
Learning shape categories by clustering shock trees.
2001 International Conference On Image Processing, Vol Iii,
Proceedings, pages 672-675, 2001.
B. Luo, A. Robles-Kelly,
A. Torsello, R. C. Wilson, and E. R. Hancock.
A probabilistic framework for graph clustering.
2001 IEEE Computer Society Conference On Computer Vision And Pattern
Recognition, Vol 1, Proceedings, pages 912-919, 2001.
R. Myers and E. R.
Hancock.
Empirical modelling of genetic algorithms.
Evolutionary Computation, 9(4):461-493, 2001.
R. Myers and E. R.
Hancock.
Least-commitment graph matching with genetic algorithms.
Pattern Recognition, 34(2):375-394, February 2001.
H. Ragheb and E. R.
Hancock.
Improved shape-from-shading using darboux smoothing.
2001 International Conference On Image Processing, Vol Ii,
Proceedings, pages 817-820, 2001.
E. Ribeiro and
E. R. Hancock.
Shape from periodic texture using the eigenvectors of local affine distortion.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
23(12):1459-1465, December 2001.
(PDF, 1780093 bytes)
A. Robles-Kelly and E. R. Hancock.
A graph-spectral method for surface height recovery from needle-maps.
2001 IEEE Computer Society Conference On Computer Vision And Pattern
Recognition, Vol 1, Proceedings, pages 141-148, 2001.
A. Robles-Kelly and E. R. Hancock.
A maximum likelihood framework for grouping and segmentation.
Energy Minimization Methods In Computer Vision And Pattern
Recognition, 2134:251-266, 2001.
A. Robles-Kelly and E. R. Hancock.
A maximum likelihood framework for iterative eigendecomposition.
Eighth IEEE International Conference On Computer Vision, Vol I,
Proceedings, pages 654-661, 2001.
A. Robles-Kelly and E. R. Hancock.
Maximum likelihood motion segmentation using eigendecomposition.
11th International Conference On Image Analysis And Processing,
Proceedings, pages 63-68, 2001.
A. Robles-Kelly, A. G. Bors, and E. R. Hancock.
Hierarchical iterative eigendecomposition for motion segmentation.
2001 International Conference On Image Processing, Vol Ii,
Proceedings, pages 363-366, 2001.
A. Torsello and
E. R. Hancock.
Efficiently computing weighted tree edit distance using relaxation labeling.
Energy Minimization Methods In Computer Vision And Pattern
Recognition, 2134:438-453, 2001.
A. Torsello,
B. Luo, A. Robles-Kelly, R.C. Wilson, and E.R. Hancock.
A probabilistic framework for graph clustering.
IEEE Computer Vision and Pattern Recognition Conference, pages
912-919, 2001.
M. Turner and E. R.
Hancock.
A bayesian framework for 3d surface estimation.
Pattern Recognition, 34(4):903-922, April 2001.
R. C. Wilson and
E. R. Hancock.
Storage capacity of the exponential correlation associative memory.
Neural Processing Letters, 13(1):71-80, February 2001.
P. L.
Worthington and E. R. Hancock.
Object recognition using shape-from-shading.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
23(5):535-542, May 2001.
(PDF, 452505 bytes)
P. L.
Worthington and E. R. Hancock.
Surface topography using shape-from-shading.
Pattern Recognition, 34(4):823-840, April 2001.
2000
P. Bergamini,
L. Cinque, A. D. J. Cross, E. R. Hancock, S. Levialdi, and R. Myers.
Efficient alignment and correspondence using edit distance.
Advances In Pattern Recognition, 1876:246-255, 2000.
A. Bors, E.R. Hancock,
and R. Wilson.
Terrain feature classification in sar imagery.
Proceedings of the Xth European Signal Processing Conference,
pages 2169-2172, 2000.
A. Bors, E.R. Hancock,
and R. Wilson.
Terrain feature identification by modelling radar image statistics.
IEEE International Conference on Image Processing, page MP06.13,
2000.
A. Bors, E.R. Hancock,
and R. Wilson.
Terrain modelling in synthetic aperture radar images using shape-from-shading.
Proceedings of the Fifteenth International Conference on Pattern
Recognition, pages 798-801, 2000.
A. Bors, E.R. Hancock,
and R.C. Wilson.
A bayesian framework for radar shape-from-shading.
IEEE Computer Society Conference on Computer Vision and Pattern
Recognition, pages 262-268, 2000.
A. G. Bors, E. R. Hancock,
and R. C. Wilson.
Terrain modeling in synthetic aperture radar images using shape-from-shading.
15th International Conference On Pattern Recognition, Vol 1, Proceedings
- Computer Vision And Image Analysis, pages 798-801, 2000.
A.G. Bors, E.R. Hancock, and
R.C. Wilson.
3-d terrain from synthetic aperture radar images.
IEEE Workshop on Computer Vision Beyond the Visible Spectrum,
pages 63-72, 2000.
M. Carcassoni and E. R. Hancock.
An improved point proximity matrix for modal matching.
15th International Conference On Pattern Recognition, Vol 2, Proceedings
- Pattern Recognition And Neural Networks, pages 34-37, 2000.
M. Carcassoni and E. R. Hancock.
Spectral correspondence for deformed point-set matching.
Articulated Motion And Deformable Objects, Proceedings,
1899:120-132, 2000.
A. D. J. Cross, R. Myers,
and E. R. Hancock.
Convergence of a hill-climbing genetic algorithm for graph matching.
Pattern Recognition, 33(11):1863-1880, November 2000.
(PDF, 811659 bytes)
E. R. Hancock and
M. Pelillo.
Energy minimization methods in computer vision and pattern recognition -
editorial.
Pattern Recognition, 33(4):533-533, April 2000.
N. Ludtke and
R. Wilson.
Decoding population codes.
Proceedings of the Fifteenth International Conference on Pattern
Recognition, pages 137-140, 2000.
N. Ludtke, R. C.
Wilson, and E. R. Hancock.
Population codes for orientation estimation.
15th International Conference On Pattern Recognition, Vol 1, Proceedings
- Computer Vision And Image Analysis, pages 238-241, 2000.
N. Ludtke, R. C. Wilson,
and E. R. Hancock.
Tangent fields from population coding.
Biologically Motivated Computer Vision, Proceeding, 1811:584-593,
2000.
N. Ludtke, R.C.
Wilson, and E.R. Hancock.
Population codes for orientation estimation.
Proceedings of the Fifteenth International Conference on Pattern
Recognition, pages 238-241, 2000.
B. Luo and E. R. Hancock.
Alignment and correspondence using singular value decomposition.
Advances In Pattern Recognition, 1876:226-235, 2000.
B. Luo and E. R.
Hancock.
Symbolic graph matching using the em algorithm and singular value
decomposition.
15th International Conference On Pattern Recognition, Vol 2, Proceedings
- Pattern Recognition And Neural Networks, pages 141-144, 2000.
S. Moss and E. R.
Hancock.
Alignment and correspondence using markov chain monte carlo.
15th International Conference On Pattern Recognition, Vol 1, Proceedings
- Computer Vision And Image Analysis, pages 928-931, 2000.
R. Myers and E. R.
Hancock.
Genetic algorithms for ambiguous labelling problems.
Pattern Recognition, 33(4):685-704, April 2000.
R. Myers and E. R.
Hancock.
Least committment graph matching by evolutionary optimisation.
Computer Vision - Eccv 2000, Pt I, Proceedings, 1842:203-219,
2000.
R. Myers and E. R.
Hancock.
Selection strategies for ambiguous graph matching by evolutionary optimisation.
Advances In Pattern Recognition, 1876:397-406, 2000.
R. Myers, R. C. Wilson,
and E. R. Hancock.
Bayesian graph edit distance.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
22(6):628-635, June 2000.
(PDF, 576938 bytes)
E. Ribeiro and
E. R. Hancock.
Adapting scale by minimising spectral defocusing for shape from texture.
2000 International Conference On Image Processing, Vol Iii,
Proceedings, pages 893-896, 2000.
E. Ribeiro and
E. R. Hancock.
Adapting spectral scale for shape from texture.
Computer Vision - Eccv 2000, Pt I, Proceedings, 1842:421-435,
2000.
E. Ribeiro and
E. R. Hancock.
Curvature estimation using shape-from-texture.
Advances In Pattern Recognition, 1876:327-336, 2000.
E. Ribeiro and
E. R. Hancock.
Estimating the 3d orientation of texture planes using local spectral analysis.
Image And Vision Computing, 18(8):619-631, May 2000.
E. Ribeiro and
E. R. Hancock.
Improved orientation estimation for texture planes using multiple vanishing
points.
Pattern Recognition, 33(10):1599-1610, October 2000.
E. Ribeiro and
E. R. Hancock.
A scale adaptive method for focusing spectral peaks.
15th International Conference On Pattern Recognition, Vol 3, Proceedings
- Image, Speech And Signal Processing, pages 119-122, 2000.
E. Ribeiro and
E. R. Hancock.
Texture plane orientation from spectral accumulation.
15th International Conference On Pattern Recognition, Vol 1, Proceedings
- Computer Vision And Image Analysis, pages 802-806, 2000.
E. Ribeiro, P. L.
Worthington, and E. R. Hancock.
An eigendecomposition method for shape-from-texture.
15th International Conference On Pattern Recognition, Vol 1, Proceedings
- Computer Vision And Image Analysis, pages 758-761, 2000.
R. Wilson and E.R.
Hancock.
Storage capacity of the exponential correlation associative memory.
Proceedings of the Fifteenth International Conference on Pattern
Recognition, pages 660-663, 2000.
R. C. Wilson and
E. R. Hancock.
Bias-variance analysis for controlling adaptive surface meshes.
Computer Vision And Image Understanding, 77(1):25-47, January
2000.
R. C. Wilson and
E. R. Hancock.
Optimising pattern recovery in recurrent correlation associative memories.
15th International Conference On Pattern Recognition, Vol 2, Proceedings
- Pattern Recognition And Neural Networks, pages 1005-1009, 2000.
R. C. Wilson and
E. R. Hancock.
Storage capacity of the exponential correlation associative memory.
15th International Conference On Pattern Recognition, Vol 2, Proceedings
- Pattern Recognition And Neural Networks, pages 660-663, 2000.
R. C. Wilson and
N. Ludtke.
Decoding population codes.
15th International Conference On Pattern Recognition, Vol 2, Proceedings
- Pattern Recognition And Neural Networks, pages 137-140, 2000.
P. L.
Worthington and E. R. Hancock.
Region-based object recognition using shape-from-shading.
Computer Vision - Eccv 2000, Pt I, Proceedings, 1842:455-471,
2000.
P. L.
Worthington and E. R. Hancock.
Structural object recognition using shape-from-shading.
15th International Conference On Pattern Recognition, Vol 1, Proceedings
- Computer Vision And Image Analysis, pages 738-741, 2000.
P. L.
Worthington and E. R. Hancock.
View synthesis from needle-maps.
15th International Conference On Patttern Recognition, Vol 4, Proceedings
- Appllications, Robotics Systems And Architectures, pages 110-113,
2000.
1999
M. Carcassoni and
E.R. Hancock.
Modal alignment and correspondence using a dual-step em- algorithm.
2nd Workshop on Graph-Based Representation Pattern Recognition,
GbR, page ?, 1999.
A. D. J. Cross and
E. R. Hancock.
Scale space vector fields for symmetry detection.
Image And Vision Computing, 17(5-6):337-345, April 1999.
A.D.J. Cross
and E.R. Hancock.
Convergence of a Hill Climbing Genegtic Algorithm for Graph
Matching, volume LNCS, pages 221-236.
Springer Verlag, 1999.
A.D.J. Cross and
E.R. Hancock.
Extracting curvilinear features from millimetre radar data.
7th Int. Conference on Image Processing and its Applications
(IPA), pages 537-541, 1999.
Edwin R Hancock and
Marcello Pelillo.
Energy minimization methods in computer vision and pattern recognition.
In Springer, editor, Lecture Notes in Computer Science, volume
1654, pages 1-332. E R Hancock and M Pelillo, 1999.
B. Huet and E. R.
Hancock.
Line pattern retrieval using relational histograms.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
21(12):1363-1370, December 1999.
B. Huet and E. R.
Hancock.
Shape recognition from large image libraries by inexact graph matching.
Pattern Recognition Letters, 20(11-13):1259-1269, November
1999.
B Huet and E R
Hancock.
Structural sensitivity for large-scale line-pattern recognition.
Visual Information and Information Systems, (1614):711-718,
1999.
B. Huet and E.R.
Hancock.
Inexact Graph Retrieval, pages 40-44.
1999.
Benoit Huet and
Edwin R Hancock.
Sensitivity analysis for object recognition.
Seventh International Conference on Computer Vision, 2:1137-1143,
1999.
B Huet, A D J Cross, and E R
Hancock.
Shape retrieval by inexact graph matching.
Proceedings IEEE International Conference on Multimedia Computing and
Systems, 2:xlix+909+1127, 1999.
Benoit Huet, Andrew D J
Cross, and Edwin R Hancock.
Graph matching for shape retrieval.
Neural Information Processing Systems 11, 2:866-902, 1999.
P. Worthington K.N.Choi and E.R.Hancock.
Facial Pose using Shape-from-Shading, volume 2, pages 402-411.
BMVA, 1999.
B. Luo and E. R.
Hancock.
Procrustes alignment with the em algorithm.
Computer Analysis Of Images And Patterns, 1689:623-631, 1999.
B. Luo and E.R.
Hancock.
Feature Matching with Procrustes Alignment and Graph Editing,
volume 1, pages 72-76.
IEE, 1999.
B. Luo and E.R.
Hancock.
Matching Point-sets using Procrustes Alignmentand the EM
Algorithm, pages 43-52.
1999.
B. Luo, A. D. J. Cross, and
E. R. Hancock.
Corner detection via topographic analysis of vector-potential.
Pattern Recognition Letters, 20(6):635-650, June 1999.
(PDF, 1694435 bytes)
S. Moss and E. R.
Hancock.
Structural constraints for pose clustering.
Computer Analysis Of Images And Patterns, 1689:632-640, 1999.
Simon Moss and Edwin R
Hancock.
Pose clustering with density estimation and structural constraints.
Computer Vision and Pattern Recognition, 2:85-91, 1999.
S. Moss, R. C. Wilson, and
E. R. Hancock.
A mixture model for pose clustering.
Pattern Recognition Letters, 20(11-13):1093-1101, November
1999.
R. Wilson
R. Myers and E.R. Hancock.
Bayesian graph edit distance.
10th Int. Conference on Image Analysis and Processing (ICIAP),
pages 1166-1171, 1999.
E. Ribeiro
and E.R. Hancock.
Accumulating spectral evidence for perspective views of texture planes.
Proceed. of the 10th British Machine Vision Conference, pages
255-264, 1999.
Eraldo Ribeiro and
Edwin R Hancock.
Ascale adaptive method for estimating the perspective pose of texture pla.
Proceedings of SIBGRAPI 99, pages 187-194, 1999.
1689
Eraldo Ribeiro
and Edwin R Hancock.
Improved Orientation Estimation for Texture Planes Using Multiple
Vanishing Points, pages 508-515.
Number 1689. Franc Solina and Ales Leonardis, 1999.
1999
M. L. Williams, R. C.
Wilson, and E. R. Hancock.
Deterministic search for relational graph matching.
Pattern Recognition, 32(7):1255-1271, July 1999.
R. C. Wilson and
E. R. Hancock.
Consistent topographic surface labelling.
Pattern Recognition, 32(7):1211-1223, July 1999.
(PDF, 2198891 bytes)
R. C. Wilson and
E. R. Hancock.
Graph matching with hierarchical discrete relaxation.
Pattern Recognition Letters, 20(10):1041-1052, October 1999.
R. C. Wilson
and E. R. Hancock.
A reflectance model for radar shape fromshading.
Proceedings of the 10th British Machine Vision Conference, pages
153-162, 1999.
R. C. Wilson and
E. R. Hancock.
Storage capacity of the exponential correlation associative memory.
Foundations And Tools For Neural Modeling, Proceedings, Vol I,
1606:301-310, 1999.
Richard C Wilson and
Edwin R Hancock.
A radar reflectance model for terrain analysis using shape-from-shading.
10th International Conference on Image Analysis and Processing,
pages 868-873, 1999.
Richard C Wilson
and Edwin R Hancock.
Storage capacity of the exponential correlation associative memory.
LNCS Foundations and Tools for Neural Modelling, 1(1606):301-310,
1999.
P. Worthington
and E.R. Hancock.
Shape-from-Shading using a Curvature Consistency Constraint, pages
484-489.
IEEE, 1999.
P. Worthington and E.R. Hancock.
Topographic Surface Structure from 2D-Images Using
Shape-from-Shading, volume LNCS, pages 14-29.
Springer Verlag, 1999.
P. L.
Worthington and E. R. Hancock.
Modelling needle-map consistency with novel constraints.
Computer Analysis Of Images And Patterns, 1689:498-507, 1999.
P. L.
Worthington and E. R. Hancock.
Needle map recovery using robust regularizers.
Image And Vision Computing, 17(8):545-557, June 1999.
P. L.
Worthington and E. R. Hancock.
New constraints on data-closeness and needle map consistency for
shape-from-shading.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
21(12):1250-1267, December 1999.
Philip L
Worthington and Edwin R Hancock.
3d surface topography from intensity images.
Seventh International Conference on Computer Vision, 2:911-917,
1999.
Philip L
Worthington and Edwin R Hancock.
Data-driven shape-from-sading using curvature consistency.
Computer Vision and Pattern Recognition, 1:287-293, 1999.
Philip L
Worthington and Edwin R Hancock.
Surface topography using shape-from shading.
Proceedings Workshop on Photometric Modeling for Computer Vision and
Graphics, 2:vii+73, 1999.
1998
A.D.J Cross
and E.R.Hancock.
Holistic matching.
In Proceedings of the Fifth European Conference on Computer Vision
(LNCS), volume 1407, pages 140-155. Springer, 1998.
A.D.J Cross
and E.R.Hancock.
Matching buildings in aerial stereogramms using genetic search and matched
filters.
ISPRS Journal of Photogrammetry and Remote Sensing, 53:95-107,
1998.
A.D.J Cross
and E.R.Hancock.
Recovering perspective pose with a dual step em algorithm.
In M.Jordan M.Kearns and S.Solla, editors, Advances in Neural Information
Processing Systems, volume 10, pages 780-786. MIT Press, 1998.
A. D. J. Cross and
E. R. Hancock.
Graph matching with a dual-step em algorithm.
IEEE Transactions On Pattern Analysis And Machine Intelligence,
20(11):1236-1253, November 1998.
(PDF, 3875970 bytes)
A. D. J. Cross and
E. R. Hancock.
Recognising building patterns using matched filters and genetic search.
Isprs Journal Of Photogrammetry And Remote Sensing, 53(2):95-107,
April 1998.
E. Cuenca de Vez
and E. R. Hancock.
Matching blood vessel patterns with the generalised em algorithm.
In Proceedings of the Fourteenth International Conference on Pattern
Recognition, pages 364-367. IEEE Computer Society Press, 1998.
A. M. Finch, R. C. Wilson,
and E. R. Hancock.
An energy function and continuous edit process for graph matching.
Neural Computation, 10(7):1873-1894, October 1998.
A. M. Finch, R. C.
Wilson, and E. R. Hancock.
Symbolic graph matching with the em algorithm.
Pattern Recognition, 31(11):1777-1790, November 1998.
E. R. Hancock and
M. Pelillo.
A bayesian interpretation for the exponential correlation associative memory.
Pattern Recognition Letters, 19(2):149-159, February 1998.
S Hickinbotham and E. R. Hancock.
Learning feature characteristics.
In Proceedings of the Fourteenth International Conference on Pattern
Recognition, pages 1160-1164. IEEE Computer Society Press, 1998.
S. Hickinbotham, P. Hagen, R. Berning, and E. R. Hancock.
Application of computer vision and texture discrimination to identify thermal
marked salmon otoliths.
In Second International Conference on Fish Otolith Research and
Application, pages ?--?, 1998.
B. Huet and E. R.
Hancock.
Fuzzy relational distance for large-scale object recognition.
In IEEE Computer Society Computer Vision and Pattern Recognition
Conference, pages 138-143. IEEE Computer Society Press, 1998.
B. Huet and E. R.
Hancock.
Object recognition from large structural libraries.
In Advances in Structural and Syntactic Pattern Recognition (Lecture
Notes in Computer Science), volume 1451, pages 190-199. Springer,
1998.
B. Huet and E. R.
Hancock.
Relational histograms for shape indexing.
In Proceedings of the Sixth International Conference on Computer
Vision, pages 563-569. ., 1998.
K.N.Choi,
M.Carcassoni, and E.R.Hancock.
Estimating 3d facial pose using the em algorithm.
In Proceedings of Eighth British Machine Vision Conference, pages
84-93, 1998.
K.N.Choi,
M.Carcassoni, and E.R.Hancock.
Recognising facial features with the em algorithm.
In H.Wechsler et al, editor, Face Recognition: From Theory to
Applications (ASI series), volume 163, pages 412-423. Springer,
1998.
Bin Luo, A. D. J. Cross,
and E. R. Hancock.
Corner detection using vector potential.
In Proceedings of the Fourteenth International Conference on Pattern
Recognition, pages 1018-1021. IEEE Computer Society Press, 1998.
Bin Luo, A. D. J. Cross,
and E. R. Hancock.
Corner detection via topographic analysis of vector potential.
In Proceedings of Eighth British Machine Vision Conference, pages
567-577. BMVA, 1998.
R. O. Myers and
E. R. Hancock.
Genetic algorithms for structural editing.
In Advances in Structural and Syntactic Pattern Recognition (Lecture
Notes in Computer Science), volume 1451, pages 159-168. Springer,
1998.
R. O. Myers, R. C.
Wilson, and E. R. Hancock.
Efficient relational matching with
local edit distance.
In Proceedings of the Fourteenth International Conference on Pattern
Recognition, pages 1711-1714. IEEE Computer Society Press, 1998.
E. Ribiero and E. R.
Hancock.
3-d planar orientation from texture: Estimating vanishing point from local
spectral analysis.
In Proceedings of Eighth British Machine Vision Conference, pages
326-335. BMVA, 1998.
E. Ribiero and
E. R. Hancock.
Estimating vanishing point from the angular correlation of spectral texture
distribution.
In Proceedings of SIBGRAPI'98, pages 339-345. IEEE Computer
Society Press, 1998.
N. G. Sharp and E. R.
Hancock.
Density propagation for surface tracking.
Pattern Recognition Letters, 19(2):177-188, February 1998.
R. C. Wilson and
E. R. Hancock.
Bias-variance tradeoff
for adaptive surface meshes.
In Proceedings of the Fifth European Conference on Computer
Vision, volume 1407, pages 449-465. Springer%2C Lecture Notes in
Computer Science, 1998.
R. C. Wilson and
E. R. Hancock.
Graph matching with hierarchical discrete relaxation.
In M.Jordan M.Kearns and S.Solla, editors, Advances in Neural Information
Processing Systems, volume 10, pages 689-695. MIT Press, 1998.
R. C. Wilson and
E. R. Hancock.
Terrain reconstruction with an adaptive surface mesh.
In Proceedings of the Fourteenth International Conference on Pattern
Recognition, pages 1401-1404. IEEE Computer Society Press, 1998.
R. C. Wilson, A. D. J.
Cross, and E. R. Hancock.
Structural matching with active triangulations.
Computer Vision And Image Understanding, 72(1):21-38, October
1998.
R. C. Wilson, A. D.
J. C. Cross, and E. R. Hancock.
Edge segmentation using electrostatic region attractors.
In Proceedings on the 1998 International Conference on Image
Processing, pages 535-539. IEEE Computer Society Press, 1998.
P. L. Worthington, B. Huet, and E. R. Hancock.
Appearance-based object recognition using shape-from-shading.
In Proceedings of the Fourteenth International Conference on Pattern
Recognition, pages 412-416. IEEE Computer Society Press, 1998.
P. L.
Worthington, B. Huet, and E. R. Hancock.
Increased extent of characteristic views using shape-from-shading for object
recognition.
In Proceedings of Eighth British Machine Vision Conference, pages
710-719. BMVA, 1998.
1997
A.M.Finch,
R.C.Wilson, and E.R.Hancock.
Softening discrete relaxation.
In M Jordan M. Mozer and T. Petsche, editors, Advances in Neural
Information Processing Systems, volume 9, pages 438-444. MIT Press,
1997.
K. N. Choi, A. D. J. Cross,
and E. R. Hancock.
Localising facial features with matched filters.
Audio- And Video-Based Biometric Person Authentication,
1206:11-20, 1997.
A.D.J. Cross and
E.R. Hancock.
Matching aerial stereograms using genetic search.
In Proceedings IAPR Workshop on Methods for Extracting Mapping Buildings,
Roads and other Man-Made Structures from Images, pages 51-68.
Oldenburg-Verlag, 1997.
A.D.J. Cross
and E.R. Hancock.
Perspective matching using the em algorithm.
In L.P.Cordella C.Arcelli and G.Sanniti di Baja, editors, Image Analysis
and Processing (LNCS), volume 1310, pages 406-413. Springer, 1997.
A.D.J. Cross and E.R.
Hancock.
Scale-space vector fields for feature analysis.
In IEEE Computer Society Computer Vision and Pattern Recognition
Conference, pages 748-753. IEEE Computer Society Press, 1997.
A.D.J. Cross and
E.R. Hancock.
Symmetry detection using a magneto-static analogy.
In L.P.Cordella C.Arcelli and G.Sanniti di Baja, editors, Advances in
Visual Form Analysis, pages 120-129. World Scientific Press, 1997.
A. D. J. Cross, R. C.
Wilson, and E. R. Hancock.
Inexact graph matching using genetic search.
Pattern Recognition, 30(6):953-970, June 1997.
A. M. Finch, R. C.
Wilson, and E. R. Hancock.
An expectation-maximisation approach to graph matching.
Energy Minimization Methods In Computer Vision And Pattern Recognition,
Proceedings, 1223:425-439, 1997.
A. M. Finch, R. C. Wilson,
and E. R. Hancock.
Matching delaunay graphs.
Pattern Recognition, 30(1):123-140, January 1997.
E.R. Hancock and
M. Pelillo.
Energy minimisation methods in computer vision and pattern recognition.
In Lecture Notes in Computer Science, volume ?, page ? Springer,
1997.
S.J. Hickenbotham,
E.R. Hancock, and J. Austin.
S-gabor channel design for segmentation of modulated textures.
In Sixth International Conference on Image Processing and its
Applications (IPA97), pages 591-595, 1997.
B. Huet and E.R.
Hancock.
Pairwise representation for image database indexing.
In Sixth International Conference on Image Processing and its
Applications (IPA97), pages 494-495, 1997.
B. Huet and
E.R. Hancock.
Structurally gated pairwise geometric histograms for shape indexing.
In M.Jordan M.Mozer and T.Petsche, editors, Proceedings 1997 British
Machine Vision Conference, pages 120-139. MIT Press, 1997.
J. A. F. Leite and
E. R. Hancock.
Iterative curve organisation with the em algorithm.
Pattern Recognition Letters, 18(2):143-155, February 1997.
J.A.F. Leite and
E.R. Hancock.
Iterative spline organisation with the em algorithm.
In M.Jordan M.Mozer and T.Petsche, editors, Advances in Neural
Information Processing Systems, volume 9, pages 880-886. MIT Press,
1997.
Bin Luo and E.R.
Hancock.
Slice interpolation using the distance transform and morphing.
In Proceedings IEEE 13th International Conference on Digital Signal
Processing, pages 1145-1149, 1997.
S. Moss and E. R.
Hancock.
Multiple line-template matching with the em algorithm.
Pattern Recognition Letters, 18(11-13):1283-1292, November
1997.
S. Moss and E. R.
Hancock.
Registering incomplete radar images using the em algorithm.
Image And Vision Computing, 15(8):637-648, August 1997.
S. Moss and E.R.
Hancock.
Image registration with shape mixtures.
In A. Del Bimbo, editor, Image Analysis and Processing (LNCS),
volume 1311, pages 172-180. Springer, 1997.
S. Moss and
E.R. Hancock.
Registering multiple cartographic models with the hierarchical mixture of
experts algorithm.
In IEEE Computer Society Computer Vision and Pattern Recognition
Conference, pages 909-914. IEEE Computer Society Press, 1997.
S. Moss, A.M. Finch,
and E.R. Hancock.
Detecting and matching hedge structures in partial radar images.
In Proceedings IAPR Workshop on Methods for Extracting Mapping Buildings,
Roads and other Man-Made Structures from Images, pages 141-158.
Oldenburg-Verlag, Munich, 1997.
R. Myers and E. R.
Hancock.
Genetic algorithm parameter sets for line labelling.
Pattern Recognition Letters, 18(11-13):1363-1371, November
1997.
R. Myers and E.R.
Hancock.
Genetic algorithms for ambiguous labelling problems.
Lecture Notes in Computer Science, 1223:345-360, 1997.
M. L. Williams,
R. C. Wilson, and E. R. Hancock.
Deterministic search strategies for relational graph matching.
Energy Minimization Methods In Computer Vision And Pattern Recognition,
Proceedings, 1223:261-275, 1997.
M. L. Williams,
R. C. Wilson, and E. R. Hancock.
Multi-sensor fusion with bayesian inference.
In Computer Analysis of Images and Patterns (LNCS), volume 1223,
pages 261-278. Springer, 1997.
M. L. Williams,
R. C. Wilson, and E. R. Hancock.
Multiple graph matching with bayesian inference.
Pattern Recognition Letters, 18(11-13):1275-1281, November
1997.
R. C. Wilson and
E. R. Hancock.
A minimun variance surface mesh.
In IEEE Computer Society Computer Vision and Pattern Recognition
Conference, pages 634-639. IEEE Computer Society Press, 1997.
R. C. Wilson and
E. R. Hancock.
Refining surface curvature with relaxation labeling.
In A Del Bimbo, editor, Image Analysis and Processing (Lecture Notes in
Computer Science), volume 1310, pages 150-157. Springer, 1997.
R. C. Wilson
and E. R. Hancock.
Structural matching by discrete relaxation.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
19(6):634-648, 1997.
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R. C. Wilson and
E. R. Hancock.
Surface reconstruction using a variance controlled adaptive mesh.
In L.P.Cordella C.Arcelli and G.Sanniti di Baja, editors, Advances in
Visual Form Analysis, pages 646-655. World Scientific Press, 1997.
P.L.
Worthington and E.R. Hancock.
Needle map recovery using robust regularizers.
In Proceedings 1997 British Machine Vision Conference, pages
31-40, 1997.
P.L.
Worthington and E.R. Hancock.
Shape-from-shading using robust priors.
In K. V. Mardia, editor, The Art and Science of Bayesian Image
analysis, pages 44-51, 1997.
P.L.
Worthington and E.R. Hancock.
Shape-from-shading using robust statistics.
In Proceedings IEEE 13th International Conference on Digital Signal
Processing, pages 1083-1088, 1997.
1996
A. D. J Cross and
E.R. Hancock.
Inexact graph matching with genetic search.
In P.Wang P.Perner and A.Rosenfeld, editors, Advances in Structural and
Syntactic Pattern Recognition (LNCS), volume 1121, pages 150-159.
Springer-Verlag, 1996.
A. M. Finch, R.C.
Wilson, and E.R. Hancock.
Relational matching with mean field annealing.
In Proceedings of the Thirteenth International Conference on Pattern
Recognition, pages 359-363. IEEE Computer Society Press, 1996.
E.R. Hancock.
Special edition-bmvc94.
Image and Vision Computing, 13:?, 1996.
E.R. Hancock
and M. Pelillo.
A bayesian analysis of the exponential correlation associative memory.
In Proceedings of the Thirteenth International Conference on Pattern
Recognition, pages 291-296. IEEE Computer Society Press, 1996.
E.R. Hancock and
M. Pelillo.
A bayesian framework for associative memories.
In M.Marinaro and R.Tagliaferriin, editors, Neural Nets, page ?
Springer, 1996.
S.J.
Hickinbotham, E.R. Hancock, and J. Austin.
Segmenting modulated line textures with s-gabor filters.
In International Conference on Image Processing, pages 149-152.
IEEE Computer Society Press, 1996.
B. Huet and
E.R. Hancock.
Cartographic indexing into a database of remotely sensed images.
In Proceedings of the IEEE Computer Society Workshop on Applications of
Machine Vision, pages 149-152. IEEE Computer Society Press, 1996.
B. Huet and E.R.
Hancock.
A statistical approach to hierarchical shape indexing.
In IEE Colloquium on Intelligent Image Databases, volume 119,
pages 7/1-7/5. IEE Conference Digest, 1996.
B. Huet and
E.R. Hancock.
Statistical indexing of infra-red images using statistical histogram
comparison.
In B.G.Mertzios and P.Liatsis, editors, IEEE International Workshop on
Intelligent Signal Processing, pages 653-656. Elsevier Science,
1996.
J.A.F. Leite and
E.R. Hancock.
Iterative curve organisation.
In Dibio Borges, editor, Advances in Artificial Intelligence
(LNCS), volume 1159, pages 141-150. Springer-Verlag, 1996.
J.A.F. Leite and
E.R. Hancock.
Iterative spline relaxation with the em algorithm.
In Proceedings of the Thirteenth International Conference on Pattern
Recognition, pages 161-165. IEEE Computer Society Press, 1996.
S. Moss and
E.R. Hancock.
Cartographic matching onto millimetre radar images.
In Proceedings of the IEEE Computer Society Workshop on Applications of
Machine Vision, pages 70-76. IEEE Computer Society Press, 1996.
S. Moss and E.R.
Hancock.
Registering incomplete radar images with the em algorithm.
In Proceedings of the Seventh British Machine Vision Conference,
pages 685-694, 1996.
N.G. Sharp and
E.R. Hancock.
A statistical framework for surface tracking.
In A.Montanvert S.Miguet and S.Ubeda, editors, Discrete Geometry for
Computer Imagery (LNCS), volume 1176, pages 336-347. Springer-Verlag,
1996.
M. Turner and E.R.
Hancock.
An em-like relaxation operator.
In Proceedings of the Thirteenth International Conference on Pattern
Recognition, pages 166-170. IEEE Computer Society Press, 1996.
R. C. Wilson and
E. R. Hancock.
A bayesian compatibility model for graph matching.
Pattern Recognition Letters, 17(3):263-276, March 1996.
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R.C. Wilson and
E.R. Hancock.
Gauging relational consistency.and correcting structural errors.
In Computer Vision and Pattern Recognition Conference, pages
47-54. IEEE Computer Society Press, 1996.
R.C. Wilson
and E.R. Hancock.
Hierarchical discrete relaxation.
In P.Wang P.Perner and A.Rosenfeld, editors, Advances in Structural and
Syntactic Pattern Recognition (LNCS), volume 1121, pages 120-129.
Springer-Verlag, 1996.
R.C. Wilson,
A. D. J. Cross, and E.R. Hancock.
Sensitivity analysis for structural matching.
In Proceedings of the Thirteenth International Conference on Pattern
Recognition, pages 62-66. IEEE Computer Society Press, 1996.
1995
A.D.J.Cross
and E.R. Hancock.
Relational matching with stochastic optimisation.
In IEEE Computer Society International Symposium on Computer
Vision, pages 365-370. IEEE Computer Society Press, 1995.
A.M.Finch and
E.R. Hancock.
Matching deformed delaunay triangulations.
In IEEE Computer Society International Symposium on Computer
Vision, pages 31-36. IEEE Computer Society Press, 1995.
A.M.Finch and
E.R. Hancock.
Matching delaunay graphs.
In C.Bracini et al, editor, Image Analysis and Processing (LNCS),
volume 974, pages 56-61. Springer-Verlag, 1995.
A. D. J.
Cross, R. C. Wilson, and E. R. Hancock.
Discrete relaxation on a boltzmann machine.
Proceedings of the 1995 International Conference on Artificial Neural
Networks, pages 491-496, 1995.
A. N. Evans, R.C.
Wilson, and E.R. Hancock.
Matching sar images using a hierarchical constraint process.
In Proceedings of the Fifth IEE International Conference on Image
Processing and its Applications, pages 60-64, 1995.
A. M.
Finch, R. C. Wilson, and E. R. Hancock.
Matching delaunay triangulations by probabilistic relaxation.
Lecture Notes in Computer Science, Springer-Verlag, 970:350-358,
1995.
E.R. Hancock.
A bayesian model of associative memory.
In Brazilian Symposium on Neural Networks, page ?, 1995.
E.R. Hancock.
Editorial.
, Image and Vision Computing, 13:318-319, 1995.
E. R.
Hancock and R. C. Wilson.
Rectifying structural matching errors.
Recent Progress in Computer Vision, Springer-Verlag, 1035,
1995.
J.A.F. Leite and
E.R. Hancock.
A linear discriminator of width.
In Image Analysis and Processing (LNCS), volume 974, pages
477-482. Springer-Verlag, 1995.
J.A.F. Leite
and E.R. Hancock.
Statistical models for channel combination and selection.
In Proceedings of the IEEE Workshop on Non-linear Signal and Image
Processing, pages 787-790, 1995.
N. G. Sharp and
E.R. Hancock.
Feature tracking by multiframe relaxation.
Image and Vision Computing, 13:637-644, 1995.
N. G. Sharp and E.R.
Hancock.
Multi-frame feature tracking by probabilistic relaxation.
In D Dori and A Bruckstein, editors, Shape, Structure and Pattern
Recognition, pages 211-220. World Scientific, 1995.
N. G. Sharp and
E.R. Hancock.
Statistical surface tracking.
In V.Hlavac and R.Sara, editors, Computer Analysis of Images and Patterns
(LNCS), volume 970, pages 618-624. Springer-Verlag, 1995.
M. Turner and
E.R. Hancock.
A bayesian approach to surface fitting and refinement.
In Proceedings of the Sixth British Machine Vision Conference,
pages 67-76, 1995.
M. Turner and
E.R. Hancock.
Bayesian extraction of differential surface structure.
In V.Hlavac and R.Sara, editors, Computer Analysis of Images and Patterns
(LNCS), volume 970, pages 784-789. Springer-Verlag, 1995.
R. C.
Wilson and E. R. Hancock.
Inexact graph matching criteria.
Shape, Structure and Pattern Recognition, pages 251-260, 1995.
R. C.
Wilson and E. R. Hancock.
An integrated approach to grouping and matching.
Lecture Notes in Computer Science, Springer-Verlag, 974:62-67,
1995.
R. C. Wilson and E. R. Hancock.
Relational matching with dynamic graph structures.
Proceedings of the Fifth International Conference on Computer
Vision, pages 450-456, 1995.
R.C. Wilson and
E.R. Hancock.
Relational matching with active graphs.
In V.Hlavac and R.Sara, editors, Computer Analysis of Images and Patterns
(LNCS), volume 970, pages 334-341. Springer-Verlag, 1995.
R. C.
Wilson, A. N. Evans, and E. R. Hancock.
Relational matching by discrete relaxation.
Image and Vision Computing, 13:411-422, 1995.
1994
A.N.Evans, N.G.Sharp,
and E.R. Hancock.
Noise models for linear feature detection in sar images.
In IEEE 1994 International Conference on Image Processing, pages
466-470. IEEE Computer Society Press, 1994.
E.R. Hancock.
Editor.
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page ?, 1994.
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An optimisation approach to line labelling.
In S Impedovo, editor, Progress in Image Analysis and Processing
III, pages 159-165. World Scientific, 1994.
E. R.
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A Bayesian framework for hierarchical relaxation.
Proceeding of the 12th Internation Conference on Pattern
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E. R.
Hancock, A. N. Evans, and R. C. Wilson.
Segmenting and matching sar images by relaxation labelling.
Workshop on SAR Image Segmentation, pages 30-37, 1994.
J.A.F. Leite
and E.R. Hancock.
Statistically combining and refining multichannel information.
In S Impedovo, editor, Progress in Image Analysis and Processing
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N.G. Sharp and E.R.
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Contour tracking by multi-frame relaxation.
In IEEE Computer Society Workshop on Motion of Non-Rigid and Articulated
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Feature tracking by multi-frame relaxation.
In Proceedings of the Fifth British Machine Vision Conference,
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Robust 3d feature detection using dictionary based relaxation.
In Proceedings SPIE, volume 2308, pages 704-715, 1994.
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Matching features in aerial images by relaxation labelling.
Progress in Image Analysis and Processing III, pages 209-217,
1994.
R. C. Wilson and E. R. Hancock.
Compatibility modelling for graph matching.
Aspects of Visual Form Processing, pages 574-584, 1994.
R. C.
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Graph matching by configurational relaxation.
Proceeding of the 12th Internation Conference on Pattern
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R. C.
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Graph matching by discrete relaxation.
Pattern Recognition in Practice IV, pages 165-176, 1994.
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Proceedings of the Fifth British Machine Vision Conference, pages
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1993
E.R. Hancock.
Resolving edge-line ambiguities using probabilistic relaxation.
In Proceedings IEEE Computer Society Computer Vision and Pattern
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E.R. Hancock and
J. Kittler.
A bayesian intepretation for the hopfield network.
In Proceedings of IEEE International Conference on Neural
Networks, pages 341-346, 1993.
W. H.
Lau, E. R. Hancock, and R. C. Wilson.
Hierarchical relaxation.
Proc. of the 5th University of New Brunswick AI Symposium, pages
111-121, 1993.
J.F.L. Leite, W.H. Lau,
and E.R. Hancock.
Feature detection using probabilistic relaxation and local energy.
In Proceedings of the Fifth Portugese Pattern Recognition
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Wilson and E. R. Hancock.
Relaxation matching of road networks in aerial images using topological
constraints.
Proc. of SPIE Sensor Fusion VI, pages 444-455, 1993.
