12.1.2.1 Deformable Template Matching

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

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Cheung, K.W.[Kwok-Wai], Yeung, D.Y.[Dit-Yan], Chin, R.T.[Roland T.],
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Cheung, K.W., Yeung, D.Y., Chin, R.T.,
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Schultz, N.[Nette], Conradsen, K.[Knut],
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Mardia, K.V., Qian, W., Shah, D., de Souza, K.M.A.,
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Mardia, K.V., Hainsworth, T.J., Haddon, J.F.,
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Ratan, A.L.[Aparna Lakshmi], Grimson, W.E.L., Wells, III, W.M.[William M.],
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And:
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Coughlan, J.M.[James M.], Yuille, A.L.[Alan L.], English, C.[Camper], Snow, D.[Dan],
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Earlier:
Efficient Optimization of a Deformable Template Using Dynamic Programming,
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Yuille, A.L., Coughlan, J.M.[James M.],
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Hobolth, A.[Asger], Pedersen, J.[Jan], Jensen, E.B.V.[Eva B. Vedel],
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Earlier:
Hand-drawn Symbol Recognition in Graphic Documents Using Deformable Template Matching and a Bayesian Framework,
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Felzenszwalb, P.F.[Pedro F.], Huttenlocher, D.P.[Daniel P.],
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Efficient Matching of Pictorial Structures,
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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.,
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Felzenszwalb, P.F.[Pedro F.],
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Felzenszwalb, P.F.[Pedro F.],
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Lan, X.Y.[Xiang-Yang], Roth, S.[Stefan], Huttenlocher, D.P.[Daniel P.], Black, M.J.[Michael J.],
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Shape Matching with Belief Propagation: Using Dynamic Quantization to Accomodate Occlusion and Clutter,
GenModel04(180).
IEEE DOI 0406
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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.
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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
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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.
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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.
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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).
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Marr Prize, HM. BibRef

Durrleman, S.[Stanley], Allassonničre, 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
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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
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Lüthi, M.[Marcel], Jud, C.[Christoph], Vetter, T.[Thomas],
Using Landmarks as a Deformation Prior for Hybrid Image Registration,
DAGM11(196-205).
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Zhang, W., Ngo, C.W.,
Topological Spatial Verification for Instance Search,
MultMed(17), No. 8, August 2015, pp. 1236-1247.
IEEE DOI 1506
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Kot, M.[Maciej], Nagahashi, H.[Hiroshi], Szymczak, P.[Piotr],
Elastic moduli of simple mass spring models,
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Kot, M.[Maciej], Nagahashi, H.[Hiroshi],
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VC(33), No. 3, March 2017, pp. 283-291.
WWW Link. 1702
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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
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Zhang, C.[Chao], Akashi, T.[Takuya],
High-Speed and Local-Changes Invariant Image Matching,
IEICE(E98-D), No. 11, November 2015, pp. 1958-1966.
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Zhang, C.[Chao], Akashi, T.[Takuya],
Robust Projective Template Matching,
IEICE(E99-D), No. 9, September 2016, pp. 2341-2350.
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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.
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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
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Su, Y.Q.[Yuan-Qi], Liu, Y.H.[Yue-Hu], Cuan, B.[Bonan], Zheng, N.N.[Nan-Ning],
Contour Guided Hierarchical Model for Shape Matching,
ICCV15(1609-1617)
IEEE DOI 1602
Computational modeling BibRef

Luo, Z.P.[Zhi-Ping], Veltkamp, R.C.[Remco C.], Egges, A.[Arjan],
As-Rigid-As-Possible Character Deformation Using Point Handles,
ISVC15(I: 57-70).
Springer DOI 1601
BibRef

Uchida, S.[Seiichi], Hokahori, S.[Satoshi], Feng, Y.[Yaokai],
Analytical Dynamic Programming Matching,
NORDIA12(I: 92-101).
Springer DOI 1210
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Zuffi, S.[Silvia], Freifeld, O.[Oren], Black, M.J.[Michael J.],
From Pictorial Structures to deformable structures,
CVPR12(3546-3553).
IEEE DOI 1208
BibRef

Wu, D.[Dijia], Liu, D.[David], Puskas, Z.[Zoltan], Lu, C.[Chao], Wimmer, A.[Andreas], Tietjen, C.[Christian], Soza, G.[Grzegorz], Zhou, S.K.[S. Kevin],
A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images,
CVPR12(980-987).
IEEE DOI 1208
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Hu, W.Z.[Wen-Ze], Wu, Y.N.[Ying Nian], Zhu, S.C.[Song-Chun],
Image representation by active curves,
ICCV11(1808-1815).
IEEE DOI 1201
Representation by deformable templates, curves, corners. BibRef

Zografos, V.[Vasileios],
Comparison of Optimisation Algorithms for Deformable Template Matching,
ISVC09(II: 1097-1108).
Springer DOI 0911
BibRef

Li, G.W.[Guang-Wei], Liu, Y.P.[Yun-Peng], Shi, Z.L.[Ze-Lin], Yin, J.[Jian],
Target Recognition Based on a Novel Riemannian Map,
CISP09(1-5).
IEEE DOI 0910
Warps of planar object. BibRef

Wan, S.A.[Shu-Ai], Wei, Z.[Zheng], Chen, X.P.[Xiao-Peng], Gao, J.[Jie],
Pendant Drop Method for Interfacial Tension Measurement Based on Edge Detection,
CISP09(1-5).
IEEE DOI 0910
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Zhang, L.J.[Lin-Jie], Gong, H.F.[Hai-Feng], Wu, T.F.[Tian-Fu], Dong, J.Y.[Jun-Yu],
Deformable template combining alignable and non-alignable sketches,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Saddi, K.A.[Kinda Anna], Chef d'Hotel, C.[Christophe], Rousson, M.[Mikael], Cheriet, F.[Farida],
Region-Based Segmentation via Non-Rigid Template Matching,
MMBIA07(1-7).
IEEE DOI 0710
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Crandall, D.J.[David J.], Huttenlocher, D.P.[Daniel P.],
Composite Models of Objects and Scenes for Category Recognition,
CVPR07(1-8).
IEEE DOI 0706
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Earlier:
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition,
ECCV06(I: 16-29).
Springer DOI 0608
Code, Object Recognition. Code:
WWW Link. 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 0711
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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
PDF File. 0507
Code, Object Recognition. Code:
WWW Link. Find matches for the parts in an overall structure. BibRef

Thuresson, J.[Johan], Carlsson, S.[Stefan],
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SCIA03(1122-1129).
Springer DOI 0310
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Lalonde, M., Gagnon, L.,
Variable neighborhood search for geometrically deformable templates,
ICPR02(II: 689-692).
IEEE DOI 0211
BibRef

Xue, Z.,
A Deformable Template Model Based on Fuzzy Alignment Algorithm,
ICIP00(Vol I: 296-299).
IEEE DOI 0008
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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 DOI 0005
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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 DOI 0005
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Berger, M., Danuser, G.,
Deformable Multi Template Matching With Application To Portal Images,
CVPR97(374-379).
IEEE DOI 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 9509
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Rao, R.R., Mersereau, R.M.,
On merging hidden Markov models with deformable templates,
ICIP95(III: 556-559).
IEEE DOI 9510
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Epstein, R., Yuille, A.L.,
Training a general purpose deformable template,
ICIP94(I: 203-207).
IEEE DOI 9411
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Silsbee, P.L.,
Motion in deformable templates,
ICIP94(I: 323-327).
IEEE DOI 9411
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Perez, P., Gidas, B.,
Motion detection and tracking using deformable templates,
ICIP94(II: 272-276).
IEEE DOI 9411
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del Bimbo, A., Santini, S., Sanz, J.,
OCR from poor quality images by deformation of elastic templates,
ICPR94(B:433-435).
IEEE DOI 9410
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Haslam, J., Taylor, C.J., Cootes, T.F.,
A Probabilistic Fitness Measure for Deformable Template Models,
BMVC94(xx-yy).
PDF File. 9409
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Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Image Registration Techniques .


Last update:Nov 17, 2018 at 09:12:27