12.1.2.1 Deformable Template Matching

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.
WWW Version. 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 Abstract. IEEE Top Reference.
WWW Version. 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 Version. 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 Abstract. IEEE Top Reference.
WWW Version. 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 Link 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 Abstract. IEEE Top Reference.
WWW Version. 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 Version. BibRef 0304
Earlier: US_Patent6,009,212, December 28, 1999.
WWW Version. BibRef

Christensen, G.E.[Gary E.],
Method and apparatus for generating consistent image registration,
US_Patent6,611,615, Augst 26, 2003.
WWW Version. 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 Version. 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 Abstract. IEEE Top Reference.
WWW Version. 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. IEEE Top Reference. 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 Link 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 Abstract. IEEE Top Reference.
WWW Version. 9710
BibRef

Mardia, K.V., Hainsworth, T.J., Haddon, J.F.,
Deformable templates in image sequences,
ICPR92(II:132-135).
IEEE DOI Link 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 Link 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 Version. 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.
WWW Version.
PDF Version. 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 Abstract. IEEE Top Reference. BibRef 9800

Ratan, A.L.[A. Lakshmi], Grimson, W.E.L.,
Training Templates for Scene Classification using a Few Examples,
CBAIVL97(90).
IEEE DOI Link 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. 0006

WWW Version. BibRef
Earlier:
Efficient Optimization of a Deformable Template Using Dynamic Programming,
CVPR98(747-752).
IEEE Abstract. IEEE Top Reference. 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.
WWW Version. 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.
WWW Version. 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.
WWW Version. 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 Link
HTML Version. 0009
BibRef

Terrades, O.R., Valveny, E.,
Radon transform for lineal symbol representation,
ICDAR03(195-199).
IEEE Abstract. IEEE Top Reference. 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.
WWW Version.
PDF Version. 0410
BibRef
Earlier:
Efficient Matching of Pictorial Structures,
CVPR00(II: 66-73).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005
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. IEEE Top Reference. 0501
BibRef
Earlier: CVPR03(I: 102-108).
IEEE Abstract. IEEE Top Reference. 0307
BibRef
Earlier:
Representation and Detection of Shapes in Images,
MIT AI-TR-2003-016, August 8, 2003.
WWW Version. 0501
Triangulated polygons. BibRef

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

Felzenszwalb, P.F.[Pedro F.],
Object Recognition with Pictorial Structures,
MIT AI-TR-2001-002, May 2001.
WWW Version. 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 Link
PDF Version. 0606
BibRef
Earlier: CVPR04(I: 261-268).
IEEE Abstract. IEEE Top Reference.
PDF Version. Code, Stereo. Code:
WWW Version. 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 Link 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.
WWW Version. 0704
BibRef
Earlier:
Shape Matching with Belief Propagation: Using Dynamic Quantization to Accomodate Occlusion and Clutter,
GenModel04(180).
IEEE DOI Link 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.).
HTML Version. 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.
WWW Version. 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 Link 0905
BibRef

Saddi, K.A.[Kinda Anna], Chefd'hotel, C.[Christophe], Rousson, M.[Mikael], Cheriet, F.[Farida],
Region-Based Segmentation via Non-Rigid Template Matching,
MMBIA07(1-7).
IEEE DOI Link 0710
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 Link 0710
BibRef

Crandall, D.J.[David J.], Huttenlocher, D.P.[Daniel P.],
Composite Models of Objects and Scenes for Category Recognition,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef
Earlier:
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition,
ECCV06(I: 16-29).
Springer DOI Link 0608
Code, Object Recognition. Code:
WWW Version. BibRef

Crandall, D.J.[David J.], Felzenszwalb, P.F.[Pedro F.], Huttenlocher, D.P.[Daniel P.],
Object Recognition by Combining Appearance and Geometry,
CLOR06(462-482).
Springer DOI Link 0711
BibRef

Crandall, D.J.[David J.], Felzenszwalb, P.F.[Pedro F.], Huttenlocher, D.P.[Daniel P.],
Spatial Priors for Part-Based Recognition Using Statistical Models,
CVPR05(I: 10-17).
IEEE DOI Link
PDF Version. 0507
Code, Object Recognition. Code:
WWW Version. Find matches for the parts in an overall structure. BibRef

Thuresson, J.[Johan], Carlsson, S.[Stefan],
Finding Object Categories in Cluttered Images Using Minimal Shape Prototypes,
SCIA03(1122-1129).
WWW Version. 0310
BibRef

Lalonde, M., Gagnon, L.,
Variable neighborhood search for geometrically deformable templates,
ICPR02(II: 689-692).
IEEE DOI Link 0211
BibRef

Xue, Z.,
A Deformable Template Model Based on Fuzzy Alignment Algorithm,
ICIP00(Vol I: 296-299).
IEEE Abstract. IEEE Top Reference. 0008
BibRef

Fisker, R.[Rune], Schultz, N.[Nette], Duta, N.[Nicolae], Carstensen, J.M.[Jens Michael],
A General Scheme for Training and Optimization of the Grenander Deformable Template Model,
CVPR00(I: 698-705).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005
BibRef

Tanaka, K.[Koichi], Sano, M.[Mutsuo], Ohara, S.[Shuichi], Okudaira, M.[Masashi],
A Parametric Template Method and its Application to Robust Matching,
CVPR00(I: 620-627).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005
BibRef

Berger, M., Danuser, G.,
Deformable Multi Template Matching With Application To Portal Images,
CVPR97(374-379).
IEEE Abstract. IEEE Top Reference.
WWW Version. 9704
Radiotherapy positioning. BibRef

Quan, R.J., Huang, T.S.,
A Scale Space Based Deformable Template Matching Algorithm,
ARPA96(1187-1192). Deformable Template. BibRef 9600

Schnörr, C.[Christoph], Peckar, W.[Wladimir],
Motion-based identification of deformable templates,
CAIP95(122-129).
Springer DOI Link 9509
BibRef

Rao, R.R., Mersereau, R.M.,
On merging hidden Markov models with deformable templates,
ICIP95(III: 556-559).
IEEE DOI Link 9510
BibRef

Epstein, R., Yuille, A.L.,
Training a general purpose deformable template,
ICIP94(I: 203-207).
IEEE DOI Link 9411
BibRef

Silsbee, P.L.,
Motion in deformable templates,
ICIP94(I: 323-327).
IEEE DOI Link 9411
BibRef

Perez, P., Gidas, B.,
Motion detection and tracking using deformable templates,
ICIP94(II: 272-276).
IEEE DOI Link 9411
BibRef

Del Bimbo, A., Santini, S., Sanz, J.,
OCR from poor quality images by deformation of elastic templates,
ICPR94(B:433-435).
IEEE DOI Link 9410
BibRef

Haslam, J., Taylor, C.J., Cootes, T.F.,
A Probabilistic Fitness Measure for Deformable Template Models,
BMVC94(xx-yy).
PDF Version. 9409
BibRef

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