12.3.3 Surface Matching, Deformable Surface Matching

Chapter Contents (Back)
Registration, 3-D. Surface Matching. Matching, Surfaces. See also Nonrigid, Non-Rigid, Deformable Motion Analysis and Tracking.

Merickel, M.[Michael],
3D Reconstruction: The Registration Problem,
CVGIP(42), No. 2, May 1988, pp. 206-219.
WWW Link. BibRef 8805

Goshtasby, A.A., Stockman, G.C., and Page, C.,
A Region-Based Approach to Digital Image Registration with Subpixel Accuracy,
GeoEl(24), No. 3, 1986, pp. 390-399. BibRef 8600

Radack, G.M.[Gerald M.], Badler, N.I.[Norman I.],
Local Matching of Surfaces Using a Boundary-Centered Radial Decomposition,
CVGIP(45), No. 3, March 1989, pp. 380-396.
WWW Link. The 3-D version of See also Jigsaw Puzzle Matching Using a Boundary-Centered Polar Encoding. BibRef 8903

Kim, W.Y., and Kak, A.C.,
3-D Object Recognition Using Bipartite Matching Embedded in Discrete Relaxation,
PAMI(13), No. 3, March 1991, pp. 224-251.
IEEE DOI Relaxation, Matching. Use the Bipartite (yes/no) matching to eliminate many bad matches and discrete relaxation for the hard part. Matching based on 3-D surfaces. The relaxation requires only a few (2) iterations for 30 surfaces. BibRef 9103

Chen, C.H., and Kak, A.C.,
A Robot Vision for Recovering 3-D Objects in Low-Order Polynomial Time,
SMC(19), No. 6, November/December 1989, pp. 1535-1563.
PDF File. BibRef 8911
And:
3D-POLY: A Robot Vision System for Recognizing Objects in Occluded Environments,
TR-EE 88-48, School of Electrical Engineering, PurdueUniversity, December 1988. Matching, Tree Search. Recognize Three-Dimensional Objects. Region extraction, surface normals for representation, model driven tree search for recognition. BibRef

Yuille, A.L.,
Generalized Deformable Models, Statistical Physics and Matching Problems,
NeurComp(2), No. 1, 1990, pp. 1-24. Problems arise with hill-climbing techniques. Mean-Field annealing. BibRef 9000

Moshfeghi, M., Ranganath, S., and Nawyn, K.,
Three-Dimensional Elastic Matching of Volumes,
IP(3), No. 2, March 1994, pp. 128-138.
IEEE DOI BibRef 9403

Chuang, J.H.[Jen-Hui],
A Potential-Based Approach for Shape-Matching and Recognition,
PR(29), No. 3, March 1996, pp. 463-470.
WWW Link. best match from selected group of templates. BibRef 9603

Feldmar, J.[Jacques], Ayache, N.J.[Nicholas J.], Betting, F.[Fabienne],
3D-2D Projective Registration of Free-Form Curves and Surfaces,
CVIU(65), No. 3, March 1997, pp. 403-424.
DOI Link 9705
BibRef
Earlier: ICCV95(549-556).
IEEE DOI 3-D curves or surfaces. BibRef

Yamany, S.M.[Sameh M.], Ahmed, M.N.[Mohamed N.], Farag, A.A.[Aly A.],
A new genetic-based technique for matching 3-D curves and surfaces,
PR(32), No. 10, October 1999, pp. 1817-1820.
WWW Link. BibRef 9910

Brett, A.D., Hill, A., Taylor, C.J.,
A method of 3D surface correspondence and interpolation for merging shape examples,
IVC(17), No. 8, June 1999, pp. 635-642.
WWW Link. BibRef 9906
Earlier:
A Method of 3D Surface Correspondence for Automated Landmark Generation,
BMVC97(xx-yy).
HTML Version. 0209
triangulated mesh and symmetric version of ICP. BibRef

Hill, A.[Andrew], Taylor, C.J.[Chris J.], Brett, A.D.[Alan D.],
A Framework for Automatic Landmark Identification Using a New Method of Nonrigid Correspondence,
PAMI(22), No. 3, March 2000, pp. 241-251.
IEEE DOI 0005
Critical points on curves to generate representations. BibRef

Brett, A.D.[Alan D.], Taylor, C.J.[Chris J.],
A Method of Automated Landmark Generation for Automated 3D PDM Construction,
IVC(18), No. 9, June 2000, pp. 739-748.
WWW Link. 0004
BibRef
Earlier: BMVC98(xx-yy). Use pairwise corresponder to extend above papers. BibRef

Hill, A.[Andrew], Taylor, C.J.[Chris J.],
A Method of Non-Rigid Correspondence for Automatic Landmark Identification,
BMVC96(Model Fitting, Matching, Recognition). 9608
BibRef
Earlier:
Automatic Landmark Generation for Point Distribution Models,
BMVC94(xx-yy).
PDF File. 9409
University of Manchester BibRef

Pedersini, F.[Federico], Pigazzini, P.[Pasquale], Sarti, A.[Augusto], Tubaro, S.[Stefano],
3D area matching with arbitrary multiview geometry,
SP:IC(14), No. 1-2, November 1998, pp. 71-94.
WWW Link. Close range stereo. Match in 3D space. BibRef 9811

Younes, L.[Laurent],
Optimal matching between shapes via elastic deformations,
IVC(17), No. 5/6, April 1999, pp. 381-389.
WWW Link. deformation cost from geodesic distance. BibRef 9904

Thompson, P.M., Toga, A.W.,
A surface-based technique for warping three-dimensional images of the brain,
MedImg(15), No. 4, August 1996, pp. 402-417.
IEEE Top Reference. 0203
Brain. BibRef

Toga, A.W., Thompson, P.M.,
The role of image registration in brain mapping,
IVC(19), No. 1-2, January 2001, pp. 3-24.
WWW Link. 0101
General issues, matching, fusion, change, segmentation, shape. BibRef

Wang, Y.L.[Ya-Lin], Chiang, M.C.[Ming-Chang], Thompson, P.M.[Paul M.],
Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping,
ICCV05(I: 527-534).
IEEE DOI 0510
BibRef

Wang, Y.L.[Ya-Lin], Lui, L.M., Gu, X.F.[Xian-Feng], Hayashi, K.M.[Kiralee M.], Chan, T.F.[Tony F.], Toga, A.W., Thompson, P.M.[Paul M.], Yau, S.T.[Shing-Tung],
Brain Surface Conformal Parameterization Using Riemann Surface Structure,
MedImg(26), No. 6, June 2007, pp. 853-865.
IEEE DOI 0706
BibRef

Wang, Y.L.[Ya-Lin], Shi, J., Yin, X., Gu, X.F.[Xian-Feng], Chan, T.F., Yau, S.T.[Shing-Tung], Toga, A.W.[Arthur W.], Thompson, P.M.,
Brain Surface Conformal Parameterization With the Ricci Flow,
MedImg(31), No. 2, February 2012, pp. 251-264.
IEEE DOI 1202
BibRef

Wang, Y.L.[Ya-Lin], Gu, X.F.[Xian-Feng], Hayashi, K.M.[Kiralee M.], Chan, T.F.[Tony F.], Thompson, P.M.[Paul M.], Yau, S.T.[Shing-Tung],
Surface Parameterization Using Riemann Surface Structure,
ICCV05(II: 1061-1066).
IEEE DOI 0510
To allow complex topology (and changes in topology). BibRef

Li, Z.L.[Zhi-Lin], Xu, Z.[Zhu], Cen, M.Y.[Min-Yi], Ding, X.L.[Xiao-Li],
Robust Surface Matching for Automated Detection of Local Deformations Using Least-Median-of-Squares Estimator,
PhEngRS(67), No. 11, November 2001, pp. 1283-1292. The least-median-of-squares estimator with the least height difference method produce the best results.
WWW Link. 0201
BibRef

Huot, E.[Etienne], Yahia, H.[Hussein], Cohen, I.[Isaac], Herlin, I.[Isabelle],
Matching Structures by Computing Minimal Paths on a Manifold,
JVCIR(13), No. 1/2, March/June 2002, pp. 302-312.
DOI Link 0204
BibRef
Earlier:
Surface Matching with Large Deformations and Arbitrary Topology: A Geodesic Distance Evolution Scheme on a 3-Manifold,
ECCV00(I: 769-783).
Springer DOI
PDF File. 0003
BibRef

Yahia, H., Huot, E., Herlin, I., Cohen, I.,
Geodesic Distance Evolution of Surfaces: A New Method for Matching Surfaces,
CVPR00(I: 663-668).
IEEE DOI
PDF File. 0005
BibRef

Hellier, P.[Pierre], Barillot, C.[Christian],
Coupling Dense and Landmark-Based Approaches for Non Rigid Registration,
MedImg(22), No. 2, February 2003, pp. 217-227.
IEEE Top Reference. 0304
BibRef
Earlier: INRIARR-4076, November 2000.
HTML Version. 0105
BibRef

Barillot, C.[Christian], Hellier, P.[Pierre],
Cooperation Between Level Set Techniques and Dense 3d Registration for the Segmentation of Brain Structures,
ICPR00(Vol I: 991-994).
IEEE DOI 0009
BibRef

Barillot, C., Hellier, P., Pratikakis, I.E.,
Robust multi-scale non-rigid registration of 3D ultrasound images,
ScaleSpace01(xx-yy). 0106
BibRef

Pratikakis, I.E.[Ioannis E.], Barillot, C.[Christian], Hellier, P.[Pierre], Memin, E.[Etienne],
Robust Multiscale Deformable Registration of 3d Ultrasound Images,
IJIG(3), No. 4, October 2003, pp. 547-565. 0310
BibRef

Hellier, P.[Pierre], Barillot, C.[Christian], Mémin, É.[Étienne], Pérez, P.[Patrick],
An Energy-based Framework for Dense 3D Registration of Volumetric Brain Images,
CVPR00(II: 270-275).
IEEE DOI 0005
See also Dense Estimation of Fluid Flows. BibRef

Sfikas, K.[Konstantinos], Pratikakis, I.E.[Ioannis E.], Koutsoudis, A.[Anestis], Savelonas, M.[Michalis],
3D Object Partial Matching Using Panoramic Views,
MM4CH13(169-178).
Springer DOI 1309
BibRef

Huang, X.L.[Xiao-Lei], Paragios, N.[Nikos], Metaxas, D.N.[Dimitris N.],
Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations,
PAMI(28), No. 8, August 2006, pp. 1303-1318.
IEEE DOI 0606
Apply to medical and to face registration. See also Metamorphs: Deformable Shape and Appearance Models. BibRef

Masuda, T.[Tomohito], Hirota, Y.[Yuichiro], Nishino, K.[Ko], Ikeuchi, K.[Katsushi],
Simultaneous Determination of Registration and Deformation Parameters among 3D Range Images,
DACO08(127-146). 0812
BibRef
Earlier: 3DIM05(369-376).
IEEE DOI 0508
See also Adaptively Merging Large-Scale Range Data with Reflectance Properties. BibRef

Chen, X., He, H., Zou, G., Zhang, X., Gu, X., Hua, J.,
Ricci flow-based spherical parameterization and surface registration,
CVIU(117), No. 9, 2013, pp. 1107-1118.
Elsevier DOI 1307
Discrete Ricci flow BibRef

Günther, A.[Andreas], Lamecker, H.[Hans], Weiser, M.[Martin],
Flexible Shape Matching with Finite Element Based LDDMM,
IJCV(105), No. 2, November 2013, pp. 128-143.
Springer DOI 1309
LDDMM: Large Deformation Diffeomorphic Metric Mapping. Matching variable shapes. BibRef

Zeng, W.[Wei], Gu, X.F.D.[Xian-Feng David],
Ricci Flow for Shape Analysis and Surface Registration: Theories, Algorithms and Applications,

Springer2013. ISBN 978-1-4614-8780-7.
WWW Link. 1404
BibRef

Zeng, W.[Wei], Lui, L.M.[Lok Ming], Gu, X.F.[Xian-Feng],
Surface Registration by Optimization in Constrained Diffeomorphism Space,
CVPR14(4169-4176)
IEEE DOI 1409
Diffeomorphism Space BibRef

Arguillère, S.[Sylvain], Trélat, E.[Emmanuel], Trouvé, A.[Alain], Younes, L.[Laurent],
Registration of Multiple Shapes using Constrained Optimal Control,
SIIMS(9), No. 1, 2016, pp. 344-385.
DOI Link 1604
BibRef

Arguillère, S.[Sylvain], Miller, M.I.[Michael I.], Younes, L.[Laurent],
Diffeomorphic Surface Registration with Atrophy Constraints,
SIIMS(9), No. 3, 2016, pp. 975-1003.
DOI Link 1610
BibRef

Zeng, Y.[Yun], Wang, C.H.[Chao-Hui], Gu, X.F.[Xian-Feng], Samaras, D.[Dimitris], Paragios, N.,
Higher-Order Graph Principles towards Non-Rigid Surface Registration,
PAMI(38), No. 12, December 2016, pp. 2416-2429.
IEEE DOI 1609
BibRef
Earlier:
A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach,
ICCV13(3360-3367)
IEEE DOI 1403
Deformable models BibRef

Zeng, Y.[Yun], Wang, C.H.[Chao-Hui], Soatto, S.[Stefano], Yau, S.T.[Shing-Tung],
Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques,
CVPR13(1706-1713)
IEEE DOI 1309
3D Shape Tracking BibRef

Zeng, Y.[Yun], Wang, C.H.[Chao-Hui], Wang, Y.[Yang], Gu, X.F.[Xian-Feng], Samaras, D.[Dimitris], Paragios, N.[Nikos],
Dense non-rigid surface registration using high-order graph matching,
CVPR10(382-389).
IEEE DOI 1006
BibRef

Zeng, W.[Wei], Goswami, M.[Mayank], Luo, F.[Feng], Gu, X.F.[Xian-Feng],
Geometric Registration Based on Distortion Estimation,
ICCV13(2632-2639)
IEEE DOI 1403
BibRef

Zeng, W.[Wei], Zeng, Y.[Yun], Wang, Y.[Yang], Yin, X.T.[Xiao-Tian], Gu, X.F.[Xian-Feng], Samaras, D.[Dimitris],
3D Non-rigid Surface Matching and Registration Based on Holomorphic Differentials,
ECCV08(III: 1-14).
Springer DOI 0810
BibRef

Jiang, T.[Tao], Qian, K.[Kun], Liu, S.[Shuang], Wang, J.[Jing], Yang, X.S.[Xiao-Song], Zhang, J.J.[Jian-Jun],
Consistent as-similar-as-possible non-isometric surface registration,
VC(33), No. 6-8, June 2017, pp. 891-901.
Springer DOI 1706
BibRef


Zhou, Y.X.[Yu-Xiang], Antonakos, E.[Epameinondas], Alabort-I-Medina, J.[Joan], Roussos, A.[Anastasios], Zafeiriou, S.P.[Stefanos P.],
Estimating Correspondences of Deformable Objects 'In-the-Wild',
CVPR16(5791-5801)
IEEE DOI 1612
BibRef

Arteaga, R.J.[Reynaldo J.], Ruuth, S.J.[Steven J.],
Laplace-Beltrami spectra for shape comparison of surfaces in 3D using the closest point method,
ICIP15(4511-4515)
IEEE DOI 1512
Laplace-Beltrami spectra BibRef

Wu, H.Y.[Huai-Yu], Zha, H.B.[Hong-Bin],
Robust consistent correspondence between 3D non-rigid shapes based on 'Dual Shape-DNA',
ICCV11(587-594).
IEEE DOI 1201
Dual Laplace-Beltrami spectral embedding. BibRef

Wang, X.L.[Xu-Lei], Zha, H.B.[Hong-Bin],
Contour canonical form: an efficient intrinsic embedding approach to matching non-rigid 3D objects,
ICMR12(31).
DOI Link 1301
intrinsic embedding technique, the contour canonical form, to express the isometry-invariant. BibRef

Wu, H.Y.[Huai-Yu], Zha, H.B.[Hong-Bin], Luo, T.[Tao], Wang, X.L.[Xu-Lei], Ma, S.D.[Song-De],
Global and local isometry-invariant descriptor for 3D shape comparison and partial matching,
CVPR10(438-445).
IEEE DOI 1006
BibRef

Fujiwara, K.[Kent], Nishino, K.[Ko], Takamatsu, J.[Jun], Zheng, B.[Bo], Ikeuchi, K.[Katsushi],
Locally rigid globally non-rigid surface registration,
ICCV11(1527-1534).
IEEE DOI 1201
Locally rigid for matching, but globally deformable. BibRef

del Bue, A.[Alessio], Bartoli, A.E.[Adrien E.],
Multiview 3D warps,
ICCV11(675-682).
IEEE DOI 1201
3D deformable matching BibRef

Windheuser, T.[Thomas], Cremers, D.[Daniel],
A Convex Solution to Spatially-Regularized Correspondence Problems,
ECCV16(II: 853-868).
Springer DOI 1611
BibRef

Chiotellis, I.[Ioannis], Triebel, R.[Rudolph], Windheuser, T.[Thomas], Cremers, D.[Daniel],
Non-rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding,
ECCV16(II: 327-342).
Springer DOI 1611
BibRef

Windheuser, T.[Thomas], Vestner, M.[Matthias], Rodola, E.[Emanuele], Triebel, R.[Rudolph], Cremers, D.[Daniel],
Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Kanezaki, A.[Asako], Rodola, E.[Emanuele], Cremers, D.[Daniel], Harada, T.[Tatsuya],
Learning Similarities for Rigid and Non-rigid Object Detection,
3DV14(720-727)
IEEE DOI 1503
Feature extraction BibRef

Rodola, E.[Emanuele], Rota Bulo, S.[Samuel], Windheuser, T.[Thomas], Vestner, M.[Matthias], Cremers, D.[Daniel],
Dense Non-rigid Shape Correspondence Using Random Forests,
CVPR14(4177-4184)
IEEE DOI 1409
BibRef

Schmidt, F.R.[Frank R.], Windheuser, T.[Thomas], Schlickewei, U.[Ulrich], Cremers, D.[Daniel],
Dense Elastic 3D Shape Matching,
Optimization11(1-18).
Springer DOI 1405
BibRef

Windheuser, T.[Thomas], Schlickewei, U.[Ulrich], Schmidt, F.R.[Frank R.], Cremers, D.[Daniel],
Geometrically consistent elastic matching of 3D shapes: A linear programming solution,
ICCV11(2134-2141).
IEEE DOI 1201
BibRef

Kim, J.[Jibum], Shontz, S.M.[Suzanne M.],
An Improved Shape Matching Algorithm for Deformable Objects Using a Global Image Feature,
ISVC10(III: 119-128).
Springer DOI 1011
BibRef

Ioannou, Y.[Yani], Shang, L.M.[Li-Min], Harrap, R.[Robin], Greenspan, M.[Michael],
Local Potential Well Space Embedding,
3DIM09(1726-1732).
IEEE DOI 0910
Recognized segmented objects in range. 3D data and model. BibRef

Lee, T.Y.[Tung-Ying], Lai, S.H.[Shang-Hong],
3D non-rigid registration for MPU implicit surfaces,
NORDIA08(1-8).
IEEE DOI 0806
BibRef

Savran, A.[Arman], Sankur, B.[Bulent],
Non-rigid registration of 3D surfaces by deformable 2D triangular meshes,
NORDIA08(1-6).
IEEE DOI 0806
BibRef

Bian, Z.[Zhe], Hu, S.M.[Shi-Min], Martin, R.R.[Ralph R.],
Comparing Small Visual Differences between Conforming Meshes,
GMP08(xx-yy).
Springer DOI 0804
BibRef

Sagawa, R.[Ryusuke], Osawa, N.[Nanaho], Yagi, Y.S.[Yasu-Shi],
Deformable Registration of Textured Range Images by Using Texture and Shape Features,
3DIM07(65-72).
IEEE DOI 0708
BibRef
Earlier:
A Probabilistic Method for Aligning and Merging Range Images with Anisotropic Error Distribution,
3DPVT06(559-566).
IEEE DOI 0606
BibRef

Mizuta, S.[Shinobu], Matsuda, T.[Tetsuya],
Description of Digital Images by Region-Based Contour Trees,
ICIAR05(549-558).
Springer DOI 0509
Describe by iso-surfaces. BibRef

Vergeest, J.S.M., Spanjaard, S., Song, Y.,
Direct 3D Pattern Matching in the Domain of Freeform Shapes,
WSCG02(469).
HTML Version. 0209
BibRef

Sun, Y.Y.[Yi-Yong], Abidi, M.A.[Mongi A.],
Surface Matching by 3D Point's Fingerprint,
ICCV01(II: 263-269).
IEEE DOI 0106
BibRef

Chen, G.Q.[G. Qian], Medioni, G.[Gerard],
A Volumetric Stereo Matching Method: Application to Image-Based Modeling,
CVPR99(I: 29-34).
IEEE DOI BibRef 9900 USC Computer VisionStereo is a surface matching problem. BibRef

Basri, R., Costa, L., Geiger, D., Jacobs, D.W.,
Determining the Similarity of Deformable Shapes,
PBMCV95(SESSION 5) BibRef 9500

Mullick, R.[Rakesh],
Automatic Orientation Determination of Three-Dimensional Objects from Three-Dimensional Data,
Ph.D.Georgia Institute of Technology, 1994. BibRef 9400

Gupta, A., and Liang, C.C.,
3-D Model-Data Correspondence and Nonrigid Deformation,
CVPR93(756-757).
IEEE DOI BibRef 9300

Shvaytser, H.[Haim],
A Surface Matching Algorithm for Two Perspective Views,
CVPR93(742-743).
IEEE DOI BibRef 9300

Gourdon, A., Ayache, N.J.,
Registration of a Curve on a Surface Using Differential Properties,
ECCV94(B:187-192).
Springer DOI BibRef 9400

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Surfaces and Range Data Matching .


Last update:Sep 25, 2017 at 16:36:46