12.1.2.1 Deformable Template Matching

Chapter Contents (Back)
Matching, Templates. Template, Deformable. Deformable Template.

Bajcsy, R., Tidhar, A.,
Using a Structured World Model in Flexible Recognition of Two Dimensional Patterns,
PR(9), No. 1, January 1977, pp. 1-10.
Elsevier DOI 0309
Organize as a lattice of patterns. BibRef

Amit, Y., Grenander, U., and Piccioni, M.,
Structural Image Restoration through Deformable Templates,
ASAJ(86), No. 414, 1991, pp. 376-387. Deformable Template. BibRef 9100

Amit, Y.,
A Non-Linear Variational Problem for Image Matching,
SIAM_JSC(15), No. 1, 1994, pp. 207-224. BibRef 9400

Amit, Y., Kong, A.,
Graphical Templates For Model Registration,
PAMI(18), No. 3, March 1996, pp. 225-236.
IEEE DOI Use a graph of landmark features. Find optimal match to the template image using dynamic programming. BibRef 9603

Amit, Y.[Yali],
2D Object Detection and Recognition Models, Algorithms, and Networks,
MIT Press2002.
WWW Link. Detection and recognition of 2D objects. Train models. Deformable Templates. BibRef 0200

Segman, J., Rubinstein, J., and Zeevi, Y.Y.,
The Canonical Coordinates Method for Pattern Deformation: Theoretical and Computational Considerations,
PAMI(14), No. 12, December 1992, pp. 1171-1183.
IEEE DOI Deform and match simple patterns (letters). BibRef 9212

Christensen, G.E., Rabbitt, R.D., Miller, M.I.,
Deformable Templates Using Large-Deformation Kinematics,
IP(5), No. 10, October 1996, pp. 1435-1447.
IEEE DOI 9610
BibRef

Nohre, R.,
Deformed Template Matching by the Viterbi Algorithm,
PRL(17), No. 14, December 30 1996, pp. 1423-1428. 9702
BibRef

Grenander, U.[Ulf], Miller, M.I.[Michael I.], and Srivastava, A.[Anuj],
Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR,
PAMI(20), No. 8, August 1998, pp. 790-802.
IEEE DOI Deformable template representation. BibRef 9808

Miller, M.I.[Michael I.], Christensen, G.E.[Gary E.], Joshi, S.C.[Sarang C.], Grenander, U.[Ulf],
Method and apparatus for image registration,
US_Patent6,553,152, April 22, 2003.
WWW Link. BibRef 0304
Earlier: US_Patent6,009,212, December 28, 1999.
WWW Link. BibRef

Christensen, G.E.[Gary E.],
Method and apparatus for generating consistent image registration,
US_Patent6,611,615, Augst 26, 2003.
WWW Link. BibRef 0308

Bakircioglu, M.M.[Muge M.], Joshi, S.C.[Sarang C.], Miller, M.I.[Michael I.],
Method and apparatus for image registration using large deformation diffeomorphisms on a sphere,
US_Patent6,633,686, October 14, 2003.
WWW Link. BibRef 0310

Cheung, K.W., Yeung, D.Y., Chin, R.T.,
Bayesian Framework for Deformable Pattern Recognition with Application to Handwritten Character Recognition,
PAMI(20), No. 12, December 1998, pp. 1382-1388.
IEEE DOI Deformable Template. OCR. Bayes Nets. BibRef 9812

Cheung, K.W.[Kwok-Wai], Yeung, D.Y.[Dit-Yan], Chin, R.T.[Roland T.],
Bidirectional Deformable Matching with Application to Handwritten Character Extraction,
PAMI(24), No. 8, August 2002, pp. 1133-1139.
IEEE Abstract. 0208
BibRef

Cheung, K.W., Yeung, D.Y., Chin, R.T.,
A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval,
ICCV99(1105-1110).
IEEE DOI BibRef 9900

Jain, A.K.[Anil K.], Zhong, Y.[Yu], Dubuisson-Jolly, M.P.[Marie-Pierre],
Deformable template models: A review,
SP(71), No. 2, 15 December 1998, pp. 109-129. BibRef 9812

Schultz, N.[Nette], Conradsen, K.[Knut],
2D vector-cycle deformable templates,
SP(71), No. 2, 15 December 1998, pp. 141-153. BibRef 9812

Mardia, K.V., Qian, W., Shah, D., de Souza, K.M.A.,
Deformable Template Recognition of Multiple Occluded Objects,
PAMI(19), No. 9, September 1997, pp. 1035-1042.
IEEE DOI 9710
BibRef

Mardia, K.V., Hainsworth, T.J., Haddon, J.F.,
Deformable templates in image sequences,
ICPR92(II:132-135).
IEEE DOI 9208
BibRef

Mardia, K.V.[Kanti V.], Bookstein, F.L.[Fred L.], Kent, J.T.[John T.], Meyer, C.R.[Charles R.],
Intrinsic Random Fields and Image Deformations,
JMIV(26), No. 1-2, November 2006, pp. 59-71.
Springer DOI 0701
BibRef

Shackleton, M.A.[Mark A.], Welsh, W.J.[William J.],
Method of forming a template of an image of an object for use in the recognition of the object,
US_Patent5,978,507, Nov 2, 1999
WWW Link. BibRef 9911

Ratan, A.L.[Aparna Lakshmi], Grimson, W.E.L.[W. Eric L.], Wells, III, W.M.[William M.],
Object Detection and Localization by Dynamic Template Warping,
IJCV(36), No. 2, February 2000, pp. 131-147.
DOI Link
PDF File. 0004
BibRef
Earlier: DARPA98(1013-1018). BibRef

Ratan, A.L.[Aparna Lakshmi], Grimson, W.E.L., Wells, III, W.M.[William M.],
Object Localization by Dynamic Template Warping,
CVPR98(634-640).
IEEE DOI BibRef 9800

Ratan, A.L.[A. Lakshmi], Grimson, W.E.L.,
Training Templates for Scene Classification using a Few Examples,
CBAIVL97(90).
IEEE DOI 9706
BibRef
And:
Extracting Templates for Scene Classification Using a Few Examples,
DARPA97(681-686). BibRef

Coughlan, J.M.[James M.], Yuille, A.L.[Alan L.], English, C.[Camper], Snow, D.[Dan],
Efficient Deformable Template Detection and Localization without User Initialization,
CVIU(78), No. 3, June 2000, pp. 303-319.
DOI Link 0006
BibRef
Earlier:
Efficient Optimization of a Deformable Template Using Dynamic Programming,
CVPR98(747-752).
IEEE DOI BibRef

Yuille, A.L., Coughlan, J.M.[James M.],
An A* perspective on deterministic optimization for deformable templates,
PR(33), No. 4, April 2000, pp. 603-616.
Elsevier DOI 0002
BibRef

Tagare, H.D.,
Deformable 2-D template matching using orthogonal curves,
MedImg(16), No. 1, February 1997, pp. 108-117.
IEEE Top Reference. 0205
BibRef

Hobolth, A.[Asger], Pedersen, J.[Jan], Jensen, E.B.V.[Eva B. Vedel],
A Deformable Template Model, with Special Reference to Elliptical Templates,
JMIV(17), No. 2, September 2002, pp. 131-137.
DOI Link 0211
BibRef

Valveny, E., Martí, E.,
A model for image generation and symbol recognition through the deformation of lineal shapes,
PRL(24), No. 15, November 2003, pp. 2857-2867.
Elsevier DOI 0308
BibRef
Earlier:
Hand-drawn Symbol Recognition in Graphic Documents Using Deformable Template Matching and a Bayesian Framework,
ICPR00(Vol II: 239-242).
IEEE DOI 0009
BibRef

Terrades, O.R., Valveny, E.,
Radon transform for lineal symbol representation,
ICDAR03(195-199).
IEEE DOI 0311
BibRef

Shen, Y.J.[Yu-Ju], Wang, M.S.[Ming-Shi],
Apply Neural Schemes To Deformation Objects,
GVIP(05), No. V4, 2005, pp. xx-yy
HTML Version. BibRef 0500

Felzenszwalb, P.F.[Pedro F.], Huttenlocher, D.P.[Daniel P.],
Pictorial Structures for Object Recognition,
IJCV(61), No. 1, January 2005, pp. 55-79.
DOI Link
PDF File. 0410
BibRef
Earlier:
Efficient Matching of Pictorial Structures,
CVPR00(II: 66-73).
IEEE DOI 0005
Award, Longuet-Higgins. Rough template of expected structure + deformations as in
See also Representation and Matching of Pictorial Structures, The. Appearance modeled separately from template and springs. BibRef

Felzenszwalb, P.F.,
Representation and Detection of Deformable Shapes,
PAMI(27), No. 2, February 2005, pp. 208-220.
IEEE Abstract. 0501
BibRef
Earlier: CVPR03(I: 102-108).
IEEE DOI 0307
BibRef
Earlier:
Representation and Detection of Shapes in Images,
MIT AI-TR-2003-016, August 8, 2003.
WWW Link. 0501
Triangulated polygons. BibRef

Felzenszwalb, P.F.[Pedro F.],
Learning Models for Object Recognition,
CVPR01(I:1056-1062).
IEEE DOI 0110
Uses edge images for base representations. Learn people or faces from examples. BibRef

Felzenszwalb, P.F.[Pedro F.],
Object detection grammars,
SIG11(691).
IEEE DOI 1201
BibRef

Felzenszwalb, P.F.[Pedro F.],
Object Recognition with Pictorial Structures,
MIT AI-TR-2001-002, May 2001.
WWW Link. 0205
BibRef

Felzenszwalb, P.F.[Pedro F.], Huttenlocher, D.P.[Daniel P.],
Efficient Belief Propagation for Early Vision,
IJCV(70), No. 1, October 2006, pp. 41-54.
Springer DOI
PDF File. 0606
BibRef
Earlier: CVPR04(I: 261-268).
IEEE DOI
PDF File. Code, Stereo. Code:
WWW Link. For stereo and reconstruction. 0408
BibRef

Lan, X.Y.[Xiang-Yang], Roth, S.[Stefan], Huttenlocher, D.P.[Daniel P.], Black, M.J.[Michael J.],
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields,
ECCV06(II: 269-282).
Springer DOI 0608

See also Fields of Experts. BibRef

Coughlan, J.M.[James M.], Shen, H.Y.[Hui-Ying],
Dynamic quantization for belief propagation in sparse spaces,
CVIU(106), No. 1, April 2007, pp. 47-58.
Elsevier DOI 0704
BibRef
Earlier:
Shape Matching with Belief Propagation: Using Dynamic Quantization to Accomodate Occlusion and Clutter,
GenModel04(180).
IEEE DOI 0406
BibRef

Belief propagation; Graphical models; Markov random fields; Pruning; Deformable templates

Coughlan, J.M.[James M.], Ferreira, S.J.[Sabino J.],
Finding Deformable Shapes Using Loopy Belief Propagation,
ECCV02(III: 453 ff.).
Springer DOI 0205
Bayesian model of the 2-D shape. Allows loops in the structure, not just trees. BibRef

Shin, H.C.[Ho-Chul], Kim, S.D.[Seong-Dae], Choi, H.C.[Hae-Chul],
Generalized elastic graph matching for face recognition,
PRL(28), No. 9, 1 July 2007, pp. 1077-1082.
Elsevier DOI 0704
Face recognition; Face alignment; Elastic graph matching BibRef

Shin, H.C.[Ho-Chul], Park, J.H.[Jae Hee], Kim, S.D.[Seong-Dae],
Combination of Warping Robust Elastic Graph Matching and Kernel-Based Projection Discriminant Analysis for Face Recognition,
MultMed(9), No. 6, October 2007, pp. 1125-1136.
IEEE DOI 0905
BibRef

Wu, Y.N.[Ying Nian], Si, Z.Z.[Zhang-Zhang], Gong, H.F.[Hai-Feng], Zhu, S.C.[Song-Chun],
Learning Active Basis Model for Object Detection and Recognition,
IJCV(90), No. 2, November 2010, pp. 198-235.
WWW Link. 1011
BibRef

Si, Z.Z.[Zhang-Zhang], Zhu, S.C.[Song-Chun],
Learning Hybrid Image Templates (HIT) by Information Projection,
PAMI(34), No. 7, July 2012, pp. 1354-1367.
IEEE DOI 1205
HIT: Generative image representation. 3-20 image examples, template is 50-500 image patches. Local sketch, texture, orientation, flatness, colors.
See also Learning explicit and implicit visual manifolds by information projection.
See also Learning AND-OR Templates for Object Recognition and Detection. BibRef

Wu, Y.N.[Ying Nian], Si, Z.Z.[Zhang-Zhang], Fleming, C.[Chuck], Zhu, S.C.[Song-Chun],
Deformable Template As Active Basis,
ICCV07(1-8).
IEEE DOI 0710
Award, Marr Prize, HM. BibRef

Durrleman, S.[Stanley], Allassonnière, S.[Stéphanie], Joshi, S.C.[Sarang C.],
Sparse Adaptive Parameterization of Variability in Image Ensembles,
IJCV(101), No. 1, January 2013, pp. 161-183.
WWW Link. 1302
BibRef

Jud, C.[Christoph], Lüthi, M.[Marcel], Albrechti, T.[Thomas], Schönborn, S.[Sandro], Vetter, T.[Thomas],
Variational Image Registration Using Inhomogeneous Regularization,
JMIV(50), No. 3, November 2014, pp. 246-260.
Springer DOI 1410
BibRef

Lüthi, M.[Marcel], Jud, C.[Christoph], Vetter, T.[Thomas],
Using Landmarks as a Deformation Prior for Hybrid Image Registration,
DAGM11(196-205).
Springer DOI 1109
BibRef

Zhang, W., Ngo, C.W.,
Topological Spatial Verification for Instance Search,
MultMed(17), No. 8, August 2015, pp. 1236-1247.
IEEE DOI 1506
Context BibRef

Kot, M.[Maciej], Nagahashi, H.[Hiroshi], Szymczak, P.[Piotr],
Elastic moduli of simple mass spring models,
VC(31), No. 10, October 2015, pp. 1339-1350.
WWW Link. 1509
BibRef

Kot, M.[Maciej], Nagahashi, H.[Hiroshi],
Mass spring models with adjustable Poisson's ratio,
VC(33), No. 3, March 2017, pp. 283-291.
WWW Link. 1702
BibRef

Zhang, C.[Chao], Sun, H.[Haitian], Akashi, T.[Takuya],
Robust Non-Parametric Template Matching with Local Rigidity Constraints,
IEICE(E99-D), No. 9, September 2016, pp. 2332-2340.
WWW Link. 1609
BibRef

Zhang, C.[Chao], Akashi, T.[Takuya],
High-Speed and Local-Changes Invariant Image Matching,
IEICE(E98-D), No. 11, November 2015, pp. 1958-1966.
WWW Link. 1512
BibRef

Zhang, C.[Chao], Akashi, T.[Takuya],
Robust Projective Template Matching,
IEICE(E99-D), No. 9, September 2016, pp. 2341-2350.
WWW Link. 1609
BibRef
Earlier:
Fast Affine Template Matching over Galois Field,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Zhang, C.[Chao], Akashi, T.[Takuya],
Two-Side Agreement Learning for Non-Parametric Template Matching,
IEICE(E100-D), No. 1, January 2017, pp. 140-149.
WWW Link. 1701
BibRef

Korman, S.[Simon], Reichman, D.[Daniel], Tsur, G.[Gilad], Avidan, S.[Shai],
FasT-Match: Fast Affine Template Matching,
IJCV(121), No. 1, January 2017, pp. 111-125.
Springer DOI 1702
BibRef
Earlier: CVPR13(2331-2338)
IEEE DOI 1309
BibRef

Eshet, Y.[Yaron], Korman, S.[Simon], Ofek, E.[Eyal], Avidan, S.[Shai],
DCSH: Matching Patches in RGBD Images,
ICCV13(89-96)
IEEE DOI 1403
BibRef

Wu, S.[Shuai], Xu, Y.[Yong], Zhang, B.[Bob], Yang, J.[Jian], Zhang, D.[David],
Deformable Template Network (DTN) for Object Detection,
MultMed(24), No. 2022, pp. 2058-2068.
IEEE DOI 2204
Strain, Object detection, Proposals, Deformable models, Task analysis, Shape, Convolutional neural networks, deformation cost BibRef

Chen, H.K.[Hong-Kai], Luo, Z.X.[Zi-Xin], Tian, Y.[Yurun], Bai, X.Y.[Xu-Yang], Wang, Z.Y.[Zi-Yu], Zhou, L.[Lei], Zhen, M.[Mingmin], Fang, T.[Tian], McKinnon, D.[David], Tsin, Y.H.[Yang-Hai], Quan, L.[Long],
Affine-based Deformable Attention and Selective Fusion for Semi-dense Matching,
IMW24(4254-4263)
IEEE DOI 2410
Geometry, Deformable models, Costs, Deformation, Shape, Fuses, Image Matching, Visuali Localization BibRef

Dey, N.[Neel], Ren, M.[Mengwei], Dalca, A.V.[Adrian V.], Gerig, G.[Guido],
Generative Adversarial Registration for Improved Conditional Deformable Templates,
ICCV21(3909-3921)
IEEE DOI 2203
Training, Neuroimaging, Pediatrics, Magnetic resonance imaging, Sociology, Estimation, Stochastic processes, Medical, biological, BibRef