11.8 Active Volumes, Deformable Solids, 3-D Snakes, etc.

Wang, Y.F., and Wang, J.F.,
Surface Reconstruction Using Deformable Models with Interior and Boundary Constraints,
PAMI(14), No. 5, May 1992, pp. 572-579.
IEEE DOI BibRef 9205
Earlier: ICCV90(300-303).
IEEE DOI BibRef

Yamamoto, M., Boulanger, P., Beraldin, J.A., and Rioux, M.,
Direct Estimation of Range Flow on Deformable Shape from a Video Rate Range Camera,
PAMI(15), No. 1, January 1993, pp. 82-89.
IEEE DOI Active models using range data. BibRef 9301

Yamamoto, M., Boulanger, P., Beraldin, J.A., Rioux, M., Domey, J.,
Direct Estimation of Deformable Motion Parameters from Range Image Sequence,
ICCV90(460-464).
IEEE DOI BibRef 9000

Vemuri, B.C., Malladi, R.,
Surface Griding with Intrinsic Parameters,
PRL(13), 1992, pp. 805-812. Triangulation. BibRef 9200

Vemuri, B.C., and Malladi, R.,
Construction Intrinsic Parameters with Active Models for Invariant Surface Reconstruction,
PAMI(15), No. 7, July 1993, pp. 668-681.
IEEE DOI BibRef 9307

Vemuri, B.C., Malladi, R.,
Intrinsic Parameters for Surface Representation Using Deformable Models,
SMC(23), 1993, pp. 614-623. BibRef 9300
Earlier:
Deformable Models: Canonical Parameters for Surface Representation and Multiple View Integration,
CVPR91(724-725).
IEEE DOI
See also Shape Modeling with Front Propagation: A Level Set Approach. BibRef

Pachowicz, P.W.,
Semiautonomous Evolution of Object Models for Adaptive Object Recognition,
SMC(24), No. 8, August 1994, pp. 1191-1201. BibRef 9408

Vemuri, B.C., and Radisavljevic, A.,
Multiresolution Stochastic Hybrid Shape Models with Fractal Priors,
TOG(13), No. 2, 1994, pp. 177-207. BibRef 9400
Earlier:
From Global to Local, a Continuum of Shape Models with Fractal Priors,
CVPR93(307-313).
IEEE DOI Deform models to fit the image. BibRef

Sullivan, S., Sandford, L., and Ponce, J.,
Using Geometric Distance Fits for 3-D Object Modeling and Recognition,
PAMI(16), No. 12, December 1994, pp. 1183-1196.
IEEE DOI BibRef 9412
Earlier:
On Using Geometric Distance Fits to Estimate 3D Object Shape, Pose, and Deformation from Range, CT, and Video Images,
CVPR93(110-115).
IEEE DOI Using algebraic models of the surface, fit a surface to the data. BibRef

Dickinson, S.J., Metaxas, D.N.,
Integrating Qualitative and Quantitative Shape Recovery,
IJCV(13), No. 3, December 1994, pp. 311-330.
Springer DOI BibRef 9412
Earlier: A2, A1:
Integration of Quantitative and Qualitative Techniques for Deformable Model Fitting from Orthographic, Perspective, and Stereo Projections,
ICCV93(641-649).
IEEE DOI Recovering the shape by matching the parts of the structure. BibRef

Sminchisescu, C.[Cristian], Metaxas, D.N.[Dimitris N.], Dickinson, S.J.[Sven J.],
Incremental Model-Based Estimation Using Geometric Constraints,
PAMI(27), No. 5, May 2005, pp. 727-738.
IEEE Abstract. 0501
BibRef
Earlier:
Incremental Model-Based Estimation Using Geometric Consistency Constraints,
INRIARR-4209, June 2001.
HTML Version. 0211
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Shen, X.Q.[Xin-Quan], Hogg, D.C.[David C.],
3-D Shape Recovery Using a Deformable Model,
IVC(13), No. 5, June 1995, pp. 377-383.
Elsevier DOI BibRef 9506
Earlier: BMVC94(xx-yy).
PDF File. 9409
BibRef
Earlier:
Generic 3-D shape model: Acquisitions and applications,
CAIP95(98-105).
Springer DOI 9509
BibRef
Earlier:
Shape Models from Image Sequences,
ECCV94(A:225-230).
Springer DOI BibRef

Baumberg, A.M.[Adam M.], and Hogg, D.C.[David C.],
Generating Spatiotemporal Models From Examples,
IVC(14), No. 8, August 1996, pp. 525-532.
Elsevier DOI 9609
BibRef
And: BMVC95(xx-yy).
PDF File. 9509
BibRef
Earlier: ECCV94(A:297-308).
Springer DOI 9405
BibRef
And:
Learning Flexible Models from Image Sequences,
TR-93.36, School of Computer Studies, University of Leeds. BibRef

Baumberg, A.M.[Adam M.], and Hogg, D.C.[David C.],
Learning Deformable Models for Tracking the Human Body,
MBR97(Chapter 3) Leeds BibRef 9700

Baumberg, A.M., Hogg, D.C.,
An Adaptive Eigenshape Model,
BMVC95(XX-YY). Birmingham.
PDF File. BibRef 9500

Baumberg, A.M., and Hogg, D.C.,
An Efficient Method for Contour Tracking Using Active Shape Models,
Non-Rigid94(194-199). BibRef 9400
And: TR-94.11, School of Computer Studies, University of Leeds, April 1994.
PS File. Kalman filter for tracking. BibRef

Baumberg, A.M.,
Hierarchical Shape Fitting using an Iterated Linear Filter,
IVC(16), No. 5, April 27 1998, pp. 329-335.
Elsevier DOI 9805
BibRef
And: BMVC96(Model Fitting, Matching, Recognition). 9608
University of Leeds BibRef

Byrne, N.J., Baumberg, A.M., and Hogg, D.C.,
Using Shape and Intensity to Track Non-Rigid Objects,
TR94.14, School of Computer Studies, University of Leeds, May 1994. BibRef 9405

Zhu, S.C.[Song Chun], and Yuille, A.L.[Alan L.],
FORMS: A Flexible Object Recognition and Modelling System,
IJCV(20), No. 3, 1996, pp. 187-212. BibRef 9600
Earlier: ICCV95(465-472).
IEEE DOI BibRef
And: HarvardRobotics Laboratory Tech. Report 94-1, 1994. BibRef
Earlier:
A framework for shape representation and recognition,
ICIP94(I: 671-675).
IEEE DOI 9411
Principal component analysis. BibRef

Yuille, A.L.[Alan L.], Peterson, C.[Carsten], Honda, K.[Ko],
Deformable Templates, Robust Statistics, and Hough Transforms,
SPIE(1570), 1991, pp. 166-174. BibRef 9100

Bogen, D.K., Rahdert, D.A.,
A Strain-Energy Approach to Regularization in Displacement Field Fits of Elastically Deforming Bodies,
PAMI(18), No. 6, June 1996, pp. 629-635.
IEEE DOI 9607
BibRef

Cohen, L.D.,
Auxiliary Variables and 2-Step Iterative Algorithms in Computer Vision Problems,
JMIV(6), No. 1, January 1996, pp. 59-83. 9608
BibRef
Earlier:
Auxiliary Variables for Deformable Models Computer Vision Problems,
ICCV95(975-980).
IEEE DOI
PS File. BibRef

Couvignou, P.A., Papanikolopoulos, N.P., Sullivan, M., Khosla, P.K.,
The Use of Active Deformable Models in Model-Based Robotic Visual Servoing,
JIRS(17), No. 2, October 1996, pp. 195-221. 9611
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Chen, S.W., Stockman, G.C., Dai, C.Y., Chuang, C.P.,
Two-Stage Dynamic Deformation for Construction of 3D Models,
GMIP(58), No. 5, September 1996, pp. 484-493. 9611
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Girard, S.C., Dinten, J.M., Chalmond, B.,
Building and Training Radiographic Models for Flexible Object Identification from Incomplete Data,
VISP(143), No. 4, August 1996, pp. 257-264. 9611
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Boyer, M., Stewart, N.F.,
Modeling Spaces for Toleranced Objects,
IJRR(10), 1991, pp. 570-582. BibRef 9100

Boyer, M., Stewart, N.F.,
Imperfect form Tolerancing on Manifold Objects: A Metric Approach,
IJRR(11), 1992, pp. 482-490. BibRef 9200

Neuenschwander, W.M., Fua, P.[Pascal], Szekely, G., Kubler, O.,
Velcro Surfaces: Fast Initialization of Deformable Models,
CVIU(65), No. 2, February 1997, pp. 237-245.
DOI Link 9704
BibRef
Earlier:
From Ziplock Snakes to Velcro(TM) Surfaces,
Ascona95(105-114).
WWW Link. BibRef
Earlier:
Deformable Velcro(TM) Surfaces,
ICCV95(828-833).
IEEE DOI Deformable model given a few known 3-D points and their surface normals. For original ziplock snakes:
See also Ziplock Snakes. BibRef

Fejes, S.[Sandor], Rosenfeld, A.[Azriel],
Discrete Active Models and Applications,
PR(30), No. 5, May 1997, pp. 817-835.
Elsevier DOI 9705
Simple class of discrete active models. BibRef

Metaxas, D.N., Koh, E., Badler, N.I.,
Multilevel Shape Representation Using Global Deformations and Locally Adaptive Finite-Elements,
IJCV(25), No. 1, October 1997, pp. 49-61.
DOI Link 9710
BibRef

Koh, E., Metaxas, D.N., Badler, N.I.,
Hierarchical Shape Representation Using Locally Adaptive Finite Elements,
ECCV94(A:441-446).
Springer DOI BibRef 9400

Williams, C.K.I., Revow, M., Hinton, G.E.,
Instantiating Deformable Models with a Neural Net,
CVIU(68), No. 1, October 1997, pp. 120-126.
DOI Link 9710
BibRef

Garrido, A.[Antonio], de la Blanca, N.P.[Nicolás Pérez],
Physically Based Active Shape Models: Initialization and Optimization,
PR(31), No. 8, August 1998, pp. 1003-1017.
Elsevier DOI 9807
Start from edge detector, shape approximation, fit deformable template. BibRef

Yuille, A.L., Ferraro, M., Zhang, T.,
Image Warping for Shape Recovery and Recognition,
CVIU(72), No. 3, December 1998, pp. 351-359.
DOI Link BibRef 9812
Earlier:
Surface Shape from Warping,
CVPR97(846-851).
IEEE DOI 9704
BibRef

Shen, J.[Jie], Yang, Y.H.[Yee-Hong],
Deformable Object Modeling Using the Time-Dependent Finite Element Method,
GMIP(60), No. 6, November 1998, pp. 461-487. BibRef 9811
Earlier:
Shape from Shading Using the Finite Element Method,
TRUniversity of Saskatchewan, Canada. 1996. Compares against:
See also Shape from Shading with a Linear Triangular Element Surface Model. And
See also Simple Algorithm for Shape for Shading, A. And
See also Shape From Shading Using Linear-Approximation. It is better on synthetic and similar to the last one on real images.
HTML Version. BibRef

Montagnat, J.[Johan], Delingette, H.[Hervé],
Globally constrained deformable models for 3D object reconstruction,
SP(71), No. 2, 15 December 1998, pp. 173-186. BibRef 9812

Ziegler, M.[Manfred], Falkenhagen, L.[Lutz], ter Horst, R.[Roel], Kalivas, D.[Dimitris],
Evolution of stereoscopic and three-dimensional video,
SP:IC(14), No. 1-2, November 1998, pp. 173-194.
Elsevier DOI BibRef 9811

Sederberg, T.W.[Thomas W.], Zheng, J.M.[Jian-Min], Klimaszewski, K.[Kris], Dokken, T.[Tor],
Approximate Implicitization Using Monoid Curves and Surfaces,
GMIP(61), No. 4, July 1999, pp. 177-198. BibRef 9907

Kim, D.[Dongryeol], Kim, J.[Jinsoo], Ko, H.S.[Hyeong-Seok],
Unification of Distance and Volume Optimization in Surface Simplification,
GMIP(61), No. 6, November 1999, pp. 363-367. 9911
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Wang, H.Y.[Hai-Yan], Ghosh, B.K.,
Geometric Active Deformable Models in Shape Modeling,
IP(9), No. 2, February 2000, pp. 302-308.
IEEE DOI 0003
BibRef
Earlier:
Geometric deformable model and segmentation,
ICIP98(III: 328-332).
IEEE DOI 9810
BibRef

Shelton, C.R.[Christian R.],
Morphable Surface Models,
IJCV(38), No. 1, June 2000, pp. 75-91.
DOI Link 0006
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Shelton, C.R.[Christian R.],
Three-Dimensional Correspondence,
MIT AI-TR-1650, December 1998.
WWW Link. Match 3-D colored surfaces using polygons. 0105
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Lam, A.[Antony], Shelton, C.R.[Christian R.],
Face recognition and alignment using support vector machines,
FG08(1-6).
IEEE DOI 0809
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Tan, J.K.[Joo Kooi], Ishikawa, S.[Seiji],
Deformable Shape Recovery by Factorization Based on a Spatiotemporal Measurement Matrix,
CVIU(82), No. 2, May 2001, pp. 101-109.
DOI Link 0108
BibRef
Earlier:
Shape Recovery of Non-rigid Objects Employing Factorization-based Stereo Cameras,
ICIP01(II: 145-148).
IEEE DOI 0108
BibRef
Earlier:
Recovering Entire Shape of a Deformable Object Employing a Single Measurement Matrix,
ICIP99(III:915-919).
IEEE DOI BibRef

Lorigo, L.M.[Liana M.], Faugeras, O.D.[Olivier D.], Grimson, W.E.L.[W. Eric L.], Keriven, R.[Renaud], Kikinis, R.[Ron], Nabavi, A.[Arya], Westin, C.F.[Carl-Fredrik],
CURVES: Curve evolution for vessel segmentation,
MIA(5), November 2001, pp. 195-206.
PDF File. BibRef 0111
Earlier:
Codimension-Two Geodesic Active Contours for the Segmentation of Tubular Structures,
CVPR00(I: 444-451).
IEEE DOI 0005
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Pae, S.I.[Sung-Il], Ponce, J.[Jean],
On Computing Structural Changes in Evolving Surfaces and their Appearance,
IJCV(43), No. 2, July 2001, pp. 113-131.
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Sclaroff, S.[Stan], Isidoro, J.[John],
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Elsevier DOI 0304
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Earlier:
Active Blobs,
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IEEE DOI Code, Active Blobs.
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Isidoro, J.[John], Sclaroff, S.[Stan],
Stochastic refinement of the visual hull to satisfy photometric and silhouette consistency constraints,
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IEEE DOI 0311
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Kaus, M.R., Pekar, V., Lorenz, C., Truyen, R., Lobregt, S., Weese, J.,
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IEEE Abstract. 0308
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Kaus, M.R.[Michael R.], Pekar, V.[Vladimir], Lorenz, C.[Cristian], Truyen, R.[Roel], Lobregt, S.[Steven], Richolt, J.[Jens], Weese, J.[Juergen],
Automated 3D PDM Construction Using Deformable Models,
ICCV01(I: 566-572).
IEEE DOI 0106
Point Distribution Model (PDM). BibRef

Li, J.[Jia], Hero, A.O.[Alfred O.],
A Fast Spectral Method for Active 3D Shape Reconstruction,
JMIV(20), No. 1-2, January-March 2004, pp. 73-87.
DOI Link 0403
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A Spectral Method for Solving Elliptic Equations for Surface Reconstruction and 3d Active Contours,
ICIP01(III: 1067-1070).
IEEE DOI 0108
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Lachaud, J.O.[Jacques-Olivier], Taton, B.[Benjamin],
Deformable model with a complexity independent from image resolution,
CVIU(99), No. 3, September 2005, pp. 453-475.
Elsevier DOI 0508
BibRef
Earlier:
Resolution independent deformable model,
ICPR04(II: 237-240).
IEEE DOI 0409
BibRef
Earlier:
Deformable model with adaptive mesh and automated topology changes,
3DIM03(12-19).
IEEE DOI 0311
BibRef
Earlier: A2, A1:
Deformable Model with Non-euclidean Metrics,
ECCV02(III: 438 ff.).
Springer DOI 0205
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Ansia, F.M., Penedo, M.G., Mariño, C., and Mosquera, A.,
A new approach to active nets,
PRIA(2), 1999, pp. 76-77. BibRef 9900

Ansia, F.M., López, J., Penedo, M.G., Mosquera, A.,
Automatic 3d Shape Reconstruction of Bones Using Active Nets Based Segmentation,
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IEEE DOI 0009
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Barreira, N.[Noelia], Penedo, M.G.[Manuel G.],
Topological Active Volumes,
JASP(2005), No. 13, 2005, pp. 1939-1947.
WWW Link. 0603
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Earlier: Add A3, A4: Mariño, C., Ansia, F.M., CAIP03(337-344).
Springer DOI 0311
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Barreira, N.[Noelia], Penedo, M.G.[Manuel G.],
Topological Active Volumes for Segmentation and Shape Reconstruction of Medical Images,
ICIAR04(II: 43-50).
Springer DOI 0409
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Barreira, N.[Noelia], Penedo, M.G.[Manuel G.], Cohen, L., Ortega, M.,
Topological active volumes: A topology-adaptive deformable model for volume segmentation,
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Elsevier DOI 0909
3D image segmentation; Topological active volumes; Adaptive topology BibRef

Ibáñez, O., Barreira, N.[Noelia], Santos, J., Penedo, M.G.[Manuel G.],
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Elsevier DOI 0902
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Automatic Topological Active Net Division in a Genetic-Greedy Hybrid Approach,
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Springer DOI 0706
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Topological Active Nets Optimization Using Genetic Algorithms,
ICIAR06(I: 272-282).
Springer DOI 0610
Active nets; Topological active nets; Genetic algorithms; Hybrid optimization algorithms; Lamarckian strategy BibRef

Novo, J., Penedo, M.G.[Manuel G.], Santos, J.,
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PRL(31), No. 13, 1 October 2010, pp. 1781-1794.
Elsevier DOI 1003
Deformable segmentation models; Topological Active Nets; Genetic algorithms; Evolutionary multiobjective optimization
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Novo, J., Santos, J., Penedo, M.G., Fernandez, A.,
Optimization of Topological Active Models with Multiobjective Evolutionary Algorithms,
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IEEE DOI 1008
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Rouco, J.[José], Barreira, N.[Noelia], Penedo, M.G.[Manuel G.], Pardo, X.M.[Xosé M.],
Conversion into Three-Dimensional Implicit Surface Representation from Topological Active Volumes Based Segmentation,
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Barreira, N.[Noelia], Penedo, M.G.[Manuel G.], Alonso, C., Rouco, J.,
Handling Topological Changes in the Topological Active Volumes Model,
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Li, Y.Z.[Yuan-Zhong], Ito, W.[Wataru],
Robust Active Shape Model Using AdaBoosted Histogram Classifiers and Shape Parameter Optimization,
IEICE(E89-D), No. 7, July 2006, pp. 2117-2123.
DOI Link 0607
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Earlier:
Shape Parameter Optimization for AdaBoosted Active Shape Model,
ICCV05(I: 251-258).
IEEE DOI 0510
BibRef

Lekadir, K., Merrifield, R., Yang, G.Z.,
Outlier Detection and Handling for Robust 3-D Active Shape Models Search,
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IEEE DOI 0702
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Markussen, B.[Bo],
Large deformation diffeomorphisms with application to optic flow,
CVIU(106), No. 1, April 2007, pp. 97-105.
Elsevier DOI 0704
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A Statistical Approach to Large Deformation Diffeomorphisms,
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IEEE DOI 0406
Non-rigid registration; Image warping; Landmark matching; Maximum a posteriori estimation; Stochastic differential equations; Renormalized Brownian density; Optic flow BibRef

Willis, A.[Andrew], Speicher, J.[Jasper], Cooper, D.B.[David B.],
Rapid prototyping 3D objects from scanned measurement data,
IVC(25), No. 7, 1 July 2007, pp. 1174-1184.
Elsevier DOI 0705
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Earlier:
Surface sculpting with stochastic deformable 3d surfaces,
ICPR04(II: 249-252).
IEEE DOI 0409
Rapid prototyping; 3D scanning; 3D deformable models; 3D probabilistic models and estimation; 3D virtual surface sculpting BibRef

Willis, A.[Andrew], Cooper, D.B.[David B.],
Estimating a-priori Unknown 3D Axially Symmetric Surfaces from Noisy Measurements of Their Fragments,
3DPVT06(334-341).
IEEE DOI 0606
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Yang, H.P.[Huai-Ping], Jüttler, B.[Bert],
3D shape metamorphosis based on T-spline level sets,
VC(23), No. 12, December 2007, pp. 1015-1025.
Springer DOI 0712
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Fuchs, M.[Matthias], Jüttler, B.[Bert], Scherzer, O.[Otmar], Yang, H.P.[Huai-Ping],
Shape Metrics Based on Elastic Deformations,
JMIV(35), No. 1, September 2009, pp. xx-yy.
Springer DOI 0907
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Abhau, J.[Jochen], Scherzer, O.[Otmar],
A Combinatorial Method for Topology Adaptations in 3D Deformable Models,
IJCV(87), No. 3, May 2010, pp. xx-yy.
Springer DOI 1003
Topology in evolving 3D meshes. BibRef

Torresani, L.[Lorenzo], Hertzmann, A.[Aaron], Bregler, C.[Chris],
Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors,
PAMI(30), No. 5, May 2008, pp. 878-892.
IEEE DOI 0803
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Earlier: A1, A2, Only:
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Springer DOI 0405
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WWW Link. Earilier location:
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Torresani, L.[Lorenzo], Yang, D.B.[Danny B.], Alexander, E.J.[Eugene J.], Bregler, C.[Christoph],
Tracking and Modeling Non-Rigid Objects with Rank Constraints,
CVPR01(I:493-500).
IEEE DOI 0110
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Bregler, C.[Christoph], Hertzmann, A.[Aaron], Biermann, H.[Henning],
Recovering Non-Rigid 3D Shape from Image Streams,
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IEEE DOI 0005
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Yang, W.W.[Wen-Wu], Feng, J.Q.[Jie-Qing], Jin, X.G.[Xiao-Gang],
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VC(24), No. 7-9, July 2008, pp. xx-yy.
Springer DOI 0804
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Chambolle, A.[Antonin], Darbon, J.[Jérôme],
On Total Variation Minimization and Surface Evolution Using Parametric Maximum Flows,
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Springer DOI 0906

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Lewin, S.[Sergej], Jiang, X.Y.[Xiao-Yi], Clausing, A.[Achim],
Perceptually Motivated Shape Evolution with Shape-Preserving Property,
PRL(31), No. 6, 15 April 2010, pp. 447-453.
Elsevier DOI 1004
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Earlier: CIARP08(667-674).
Springer DOI 0809
BibRef
Earlier:
Shape Evolution Driven by a Perceptually Motivated Measure,
ISVC07(II: 214-223).
Springer DOI 0711
Shape evolution; Shape perception; Shape preservation BibRef

Lewin, S.[Sergej], Jiang, X.Y.[Xiao-Yi], Clausing, A.[Achim],
A Clustering-Based Ensemble Technique for Shape Decomposition,
SSSPR12(153-161).
Springer DOI 1211
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Chang, H.H.[Herng-Hua], Valentino, D.J.[Daniel J.], Chu, W.C.[Woei-Chyn],
Active Shape Modeling with Electric Flows,
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IEEE DOI 1007
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Stolpner, S.[Svetlana], Whitesides, S.[Sue], Siddiqi, K.[Kaleem],
Sampled medial loci for 3D shape representation,
CVIU(115), No. 5, May 2011, pp. 695-706.
Elsevier DOI 1103
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Earlier:
Sampled medial loci and boundary differential geometry,
3DIM09(1855-1862).
IEEE DOI 0910
Medial representations; Discrete differential geometry; Medial simplification; 3D shape representation BibRef

Boucher, M.[Maxime], Lyttelton, O.[Oliver], Whitesides, S.[Sue], Evans, A.[Alan],
A Discrete Differential Operator for Direction-based Surface Morphometry,
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IEEE DOI 0710
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Chen, S.Y., Zhang, J., Guan, Q., Liu, S.,
Detection and amendment of shape distortions based on moment invariants for active shape models,
IET-IPR(5), No. 3, June 2011, pp. 273-285.
DOI Link 1105
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Wang, J.W.[Jun-Wei], Bai, X.[Xiang], You, X.G.[Xin-Ge], Liu, W.Y.[Wen-Yu], Latecki, L.J.[Longin Jan],
Shape matching and classification using height functions,
PRL(33), No. 2, 15 January 2012, pp. 134-143.
Elsevier DOI 1112
Shape matching; Contour; Height function; Shape retrieval BibRef

Wang, X.G.[Xing-Gang], Bai, X.[Xiang], Ma, T.Y.[Tian-Yang], Liu, W.Y.[Wen-Yu], Latecki, L.J.[Longin Jan],
Fan Shape Model for object detection,
CVPR12(151-158).
IEEE DOI 1208
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Wang, X.G.[Xing-Gang], Feng, B.[Bin], Bai, X.[Xiang], Liu, W.Y.[Wen-Yu], Latecki, L.J.[Longin Jan],
Bag of contour fragments for robust shape classification,
PR(47), No. 6, 2014, pp. 2116-2125.
Elsevier DOI 1403
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Earlier: A1, A3, A4, A5, Only:
Feature context for image classification and object detection,
CVPR11(961-968).
IEEE DOI 1106
Shape classification BibRef

Bai, X.[Xiang], Rao, C.[Cong], Wang, X.G.[Xing-Gang],
Shape Vocabulary: A Robust and Efficient Shape Representation for Shape Matching,
IP(23), No. 9, September 2014, pp. 3935-3949.
IEEE DOI 1410
feature extraction BibRef

Bai, X.[Xiang], Donoser, M.[Michael], Liu, H.R.[Hai-Rong], Latecki, L.J.[Longin Jan],
Efficient shape representation, matching, ranking, and its applications,
PRL(83, Part 3), No. 1, 2016, pp. 241-242.
Elsevier DOI 1609
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Bai, X.[Xiang], Wang, X.G.[Xing-Gang], Latecki, L.J.[Longin Jan], Liu, W.Y.[Wen-Yu], Tu, Z.W.[Zhuo-Wen],
Active skeleton for non-rigid object detection,
ICCV09(575-582).
IEEE DOI 0909
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Bai, X.[Xiang], Li, Q.N.[Quan-Nan], Latecki, L.J.[Longin Jan], Liu, W.Y.[Wen-Yu], Tu, Z.W.[Zhuo-Wen],
Shape band: A deformable object detection approach,
CVPR09(1335-1342).
IEEE DOI 0906
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Bai, X.[Xiang], Liu, W.Y.[Wen-Yu], Tu, Z.W.[Zhuo-Wen],
Integrating contour and skeleton for shape classification,
NORDIA09(360-367).
IEEE DOI 0910
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Ling, H.B.[Hai-Bin], Yang, X.W.[Xing-Wei], Latecki, L.J.[Longin Jan],
Balancing Deformability and Discriminability for Shape Matching,
ECCV10(III: 411-424).
Springer DOI 1009
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Lai, S.H.[Shu-Hua], Cheng, F.H.F.[Fu-Hua Frank],
Fast Mesh Interpolation and Mesh Decomposition with Applications,
IJIG(12), No. 1, January 2012, pp. 1250006.
DOI Link 1203
BibRef
Earlier:
An Iterative Method for Fast Mesh Denoising,
ISVC08(II: 1034-1043).
Springer DOI 0812
BibRef

Lai, S.H.[Shu-Hua], Cheng, F.H.F.[Fu-Hua Frank], Fan, F.T.[Feng-Tao],
Fast Spherical Mapping for Genus-0 Meshes,
ISVC09(II: 982-991).
Springer DOI 0911
BibRef
Earlier:
Locally Adjustable Interpolation for Meshes of Arbitrary Topology,
ISVC07(I: 88-97).
Springer DOI 0711
BibRef

Cerrolaza, J.J.[Juan J.], Villanueva, A.[Arantxa], Sukno, F.M.[Federico M.], Butakoff, C.[Constantine], Frangi, A.F.[Alejandro F.], Cabeza, R.[Rafael],
Full Multiresolution Active Shape Models,
JMIV(44), No. 3, November 2012, pp. 463-479.
WWW Link. 1209
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Cerrolaza, J.J.[Juan J.], Villanueva, A.[Arantxa], Cabeza, R.[Rafael],
Hierarchical multi-resolution decomposition of statistical shape models,
SIViP(9), No. 6, September 2015, pp. 1473-1490.
WWW Link. 1509
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And:
Shape Constraint Strategies: Novel Approaches and Comparative Robustness,
BMVC11(xx-yy).
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Tao, L.[Lili], Mein, S.J.[Stephen J.], Quan, W.[Wei], Matuszewski, B.J.[Bogdan J.],
Recursive non-rigid structure from motion with online learned shape prior,
CVIU(117), No. 10, 2013, pp. 1287-1298.
Elsevier DOI 1309
BibRef
Earlier: A1, A4, A2, Only:
Non-rigid structure from motion with incremental shape prior,
ICIP12(1753-1756).
IEEE DOI 1302
Structure from Motion. Rather than batch all data first. Impose shape stability constraints on incremental estimates. BibRef

Tao, L.[Lili], Matuszewski, B.J.[Bogdan J.],
Robust deformable shape reconstruction from monocular video with manifold forests,
MVA(27), No. 5, August 2016, pp. 801-819.
WWW Link. 1609
BibRef
Earlier:
Non-rigid Structure from Motion with Diffusion Maps Prior,
CVPR13(1530-1537)
IEEE DOI 1309
BibRef
And:
Deformable Shape Reconstruction from Monocular Video with Manifold Forests,
CAIP13(28-36).
Springer DOI 1308
3D reconstruction; diffusion maps; manifold learning BibRef

Razzaghi, P.[Parvin], Samavi, S.[Shadrokh],
Hierarchical Implicit Shape Modeling,
JVCIR(25), No. 5, 2014, pp. 1251-1261.
Elsevier DOI 1406
Object recognition BibRef

Pepik, B.[Bojan], Stark, M.[Michael], Gehler, P.[Peter], Schiele, B.[Bernt],
Multi-View and 3D Deformable Part Models,
PAMI(37), No. 11, November 2015, pp. 2232-2245.
IEEE DOI 1511
computer vision BibRef
Earlier: A1, A3, A2, A4:
3D2PM: 3D Deformable Part Models,
ECCV12(VI: 356-370).
Springer DOI 1210
BibRef
Earlier: A1, A2, A3, A4:
Teaching 3D geometry to deformable part models,
CVPR12(3362-3369).
IEEE DOI 1208
BibRef

Özgür, E.[Erol], Bartoli, A.E.[Adrien E.],
Particle-SfT: A Provably-Convergent, Fast Shape-from-Template Algorithm,
IJCV(123), No. 2, June 2017, pp. 184-205.
Springer DOI 1705
recover the 3D shape of a deformable object from a single image with 3D template and deformation constraint. BibRef

Zhou, X.W.[Xiao-Wei], Zhu, M.L.[Meng-Long], Leonardos, S.[Spyridon], Daniilidis, K.[Kostas],
Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach,
PAMI(39), No. 8, August 2017, pp. 1648-1661.
IEEE DOI 1707
Computational modeling, Deformable models, Mathematical model, Shape, Solid modeling, 3D reconstruction, convex optimization, sparse, representation BibRef

Zhu, M.L.[Meng-Long], Atanasov, N.[Nikolay], Pappas, G.J.[George J.], Daniilidis, K.[Kostas],
Active Deformable Part Models Inference,
ECCV14(VII: 281-296).
Springer DOI 1408
BibRef

Cai, J.P.[Jian-Ping], Lin, F.[Feng], Lee, Y.T.[Yong Tsui], Qian, K.[Kemao], Seah, H.S.[Hock Soon],
Modeling and dynamics simulation for deformable objects of orthotropic materials,
VC(33), No. 10, October 2017, pp. 1307-1318.
WWW Link. 1709
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Cha, G.H.[Geon-Ho], Lee, M.[Minsik], Cho, J.C.[Jung-Chan], Oh, S.H.[Song-Hwai],
Non-rigid surface recovery with a robust local-rigidity prior,
PRL(110), 2018, pp. 51-57.
Elsevier DOI 1806
Non-rigid surface recovery, Local rigidity, Non-rigid structure-from-motion BibRef

Chien, S.T.[Shuo-Ting], Hu, C.H.[Chen-Hui], Huang, C.Y.[Cheng-Yang], Tsai, Y.T.[Yu-Ting], Lin, W.C.[Wen-Chieh],
Deformation simulation based on model reduction with rigidity-guided sampling,
VC(34), No. 6-8, June 2018, pp. 937-947.
Springer DOI 1806
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Agudo, A.[Antonio], Moreno-Noguer, F.[Francesc],
Shape Basis Interpretation for Monocular Deformable 3-D Reconstruction,
MultMed(21), No. 4, April 2019, pp. 821-834.
IEEE DOI 1903
Shape, Strain, Cameras, Solid modeling, Computational modeling, optimization BibRef

Agudo, A.[Antonio], Moreno-Noguer, F.[Francesc],
Robust Spatio-Temporal Clustering and Reconstruction of Multiple Deformable Bodies,
PAMI(41), No. 4, April 2019, pp. 971-984.
IEEE DOI 1903
Shape, Tracking, Cameras, Motion segmentation, Strain, augmented lagrange multipliers BibRef

Agudo, A.[Antonio], Pijoan, M., Moreno-Noguer, F.[Francesc],
Image Collection Pop-up: 3D Reconstruction and Clustering of Rigid and Non-rigid Categories,
CVPR18(2607-2615)
IEEE DOI 1812
Shape, Strain, Cameras, Image reconstruction, Deformable models BibRef

Agudo, A.[Antonio], Montiel, J.M.M., Calvo, B.[Begoña], Moreno-Noguer, F.[Francesc],
Mode-shape interpretation: Re-thinking modal space for recovering deformable shapes,
WACV16(1-8)
IEEE DOI 1606
Cameras BibRef

Agudo, A.[Antonio],
Unsupervised 3D Reconstruction and Grouping of Rigid and Non-Rigid Categories,
PAMI(44), No. 1, January 2022, pp. 519-532.
IEEE DOI 2112
Strain, Annotations, Shape, Cameras, Dogs, Category reconstruction, augmented lagrange multipliers BibRef

Agudo, A.[Antonio],
Piecewise Bézier Space: Recovering 3D Dynamic Motion from Video,
ICIP21(3268-3272)
IEEE DOI 2201
Solid modeling, Shape, Dynamics, Video sequences, Estimation, Training data, Non-Rigid Structure from Motion, optimization BibRef

Agudo, A.[Antonio], Calvo, B.[Begoña], Montiel, J.M.M.,
3D Reconstruction of Non-Rigid Surfaces in Real-Time Using Wedge Elements,
NORDIA12(I: 113-122).
Springer DOI 1210
BibRef
Earlier:
FEM models to code non-rigid EKF monocular SLAM,
4DMOD11(1586-1593).
IEEE DOI 1201
Extended Kalman Filter. 3D non-rigid structure from motion. BibRef

Hoerig, C., Ghaboussi, J., Insana, M.F.,
Data-Driven Elasticity Imaging Using Cartesian Neural Network Constitutive Models and the Autoprogressive Method,
MedImg(38), No. 5, May 2019, pp. 1150-1160.
IEEE DOI 1905
Strain, Stress, Material properties, Displacement measurement, Artificial neural networks, Young's modulus, Force, inverse problems BibRef

Su, Z.[Zhe], Bauer, M.[Martin], Preston, S.C.[Stephen C.], Laga, H.[Hamid], Klassen, E.[Eric],
Shape Analysis of Surfaces Using General Elastic Metrics,
JMIV(62), No. 8, October 2020, pp. xx-yy.
Springer DOI 2009
BibRef

Hartman, E.[Emmanuel], Sukurdeep, Y.[Yashil], Klassen, E.[Eric], Charon, N.[Nicolas], Bauer, M.[Martin],
Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework,
IJCV(131), No. 5, May 2023, pp. 1183-1209.
Springer DOI 2305

See also Second Order Elastic Metrics on the Shape Space of Curves. BibRef

Yang, L.J.[Lin-Jie], Wang, L.P.[Lu-Ping], Su, Y.J.[Yi-Jing], Gao, Y.[Yin],
Bag of shape descriptor using unsupervised deep learning for non-rigid shape recognition,
SP:IC(96), 2021, pp. 116297.
Elsevier DOI 2106
Shape recognition, Bag of shape descriptor, Unsupervised deep learning, High-level feature dictionary, Shape coding BibRef

Teng, Y.D.[Ya-Dong], Lu, H.M.[Hui-Min], Li, Y.J.[Yu-Jie], Kamiya, T.[Tohru], Nakatoh, Y.[Yoshihisa], Serikawa, S.[Seiichi], Gao, P.X.[Peng-Xiang],
Multidimensional Deformable Object Manipulation Based on DN-Transporter Networks,
ITS(24), No. 4, April 2023, pp. 4532-4540.
IEEE DOI 2304
Task analysis, Robots, Robot kinematics, Visualization, Deformable models, Transportation, Computational modeling, robot vision BibRef

Wu, S.Z.[Shang-Zhe], Jakab, T.[Tomas], Rupprecht, C.[Christian], Vedaldi, A.[Andrea],
DOVE: Learning Deformable 3D Objects by Watching Videos,
IJCV(131), No. 10, October 2023, pp. 2623-2634.
Springer DOI 2309
BibRef

Wu, J.H.[Jia-Hao], Ma, B.[Bo], Zhang, Y.P.[Yu-Ping], Yi, X.[Xin],
Capturing geometric structure change through deformation aware correlation,
CVIU(235), 2023, pp. 103784.
Elsevier DOI 2310
Deformation aware, Visual object tracking, Offset prediction, Bilinear sampling, Modulated deformable network BibRef

Jiang, B.[Boyan], Zhang, Y.[Yinda], Huo, J.Y.[Jing-Yang], Xue, X.Y.[Xiang-Yang], Fu, Y.W.[Yan-Wei],
H4MER: Human 4D Modeling by Learning Neural Compositional Representation With Transformer,
PAMI(45), No. 12, December 2023, pp. 14639-14652.
IEEE DOI 2311
BibRef

Jiang, B.[Boyan], Zhang, Y.[Yinda], Wei, X.K.[Xing-Kui], Xue, X.Y.[Xiang-Yang], Fu, Y.W.[Yan-Wei],
H4D: Human 4D Modeling by Learning Neural Compositional Representation,
CVPR22(19333-19343)
IEEE DOI 2210
BibRef
Earlier:
Learning Compositional Representation for 4D Captures with Neural ODE,
CVPR21(5336-5346)
IEEE DOI 2111
Geometry, Point cloud compression, Solid modeling, Codes, Shape, Dynamics, Representation learning, Vision + graphics. Training, Geometry, Solid modeling, Codes, Shape BibRef

Lu, H.M.[Hui-Min], Teng, Y.D.[Ya-Dong], Li, Y.J.[Yu-Jie],
Learning Latent Dynamics for Autonomous Shape Control of Deformable Object,
ITS(24), No. 11, November 2023, pp. 13133-13140.
IEEE DOI 2311
BibRef

Elloumi, N.[Nessrine], Loukil, H.[Habiba], Bouhlel, M.S.[Med Salim],
Full-Reference Objective Quality Metric for Three-Dimensional Deformed Models,
IJIG(24), No. 1, Januaur 2024, pp. 2450006.
DOI Link 2402
BibRef

Wu, H.[Hao], Fang, L.[Lincong], Yu, Q.[Qian], Yang, C.Z.[Cheng-Zhuan],
Learning Robust Point Representation for 3D Non-Rigid Shape Retrieval,
MultMed(26), 2024, pp. 4430-4444.
IEEE DOI 2403
Shape, Solid modeling, Computational modeling, Histograms, Topology, Task analysis, Local point histogram, high-level point feature, 3D non-rigid shape retrieval BibRef

Choutas, V.[Vasileios], Bogo, F.[Federica], Shen, J.J.[Jing-Jing], Valentin, J.[Julien],
Learning to Fit Morphable Models,
ECCV22(VI:160-179).
Springer DOI 2211
BibRef

Lee, J.Y.[Jih-Yun], Sung, M.[Minhyuk], Kim, H.[Hyunjin], Kim, T.K.[Tae-Kyun],
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian,
CVPR22(18511-18520)
IEEE DOI 2210
Point cloud compression, Deformable models, Laplace equations, Shape, Predictive models, Vision + graphics, 3D from single images BibRef

Bashkirova, D.[Dina], Abdelfattah, M.[Mohamed], Zhu, Z.L.[Zi-Liang], Akl, J.[James], Alladkani, F.[Fadi], Hu, P.[Ping], Ablavsky, V.[Vitaly], Calli, B.[Berk], Bargal, S.A.[Sarah Adel], Saenko, K.[Kate],
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes,
CVPR22(21115-21125)
IEEE DOI 2210
Training, Pollution, Transfer learning, Semantics, Soil, Recycling, Datasets and evaluation, Segmentation, grouping and shape analysis BibRef

Lei, J.[Jiahui], Daniilidis, K.[Kostas],
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism,
CVPR22(6614-6624)
IEEE DOI 2210
Geometry, Surface reconstruction, Shape, Tracking, Animals, Pose estimation, Motion and tracking, Self- semi- meta- Video analysis and understanding BibRef

Wickramasinghe, U.[Udaranga], Fua, P.[Pascal], Knott, G.[Graham],
Deep Active Surface Models,
CVPR21(11647-11656)
IEEE DOI 2111
Measurement, Surface reconstruction, Solid modeling, Image segmentation, Computational modeling BibRef

Palafox, P.[Pablo], Božic, A.[Aljaž], Thies, J.[Justus], Nießner, M.[Matthias], Dai, A.[Angela],
NPMs: Neural Parametric Models for 3D Deformable Shapes,
ICCV21(12675-12685)
IEEE DOI 2203
Solid modeling, Interpolation, Codes, Shape, Computational modeling, Fitting, 3D from a single image and shape-from-x, Stereo, 3D from multiview and other sensors BibRef

Božic, A.[Aljaž], Palafox, P.[Pablo], Zollhöfer, M.[Michael], Thies, J.[Justus], Dai, A.[Angela], Nießner, M.[Matthias],
Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction,
CVPR21(1450-1459)
IEEE DOI 2111
Measurement, Geometry, Deformable models, Tracking, Shape, Neural networks BibRef

Neverova, N.[Natalia], Sanakoyeu, A.[Artsiom], Labatut, P.[Patrick], Novotny, D.[David], Vedaldi, A.[Andrea],
Discovering Relationships between Object Categories via Universal Canonical Maps,
CVPR21(404-413)
IEEE DOI 2111
Training, Geometry, Shape, Scalability, Semantics, Manuals BibRef

Jiang, C.Y.[Chi-Yu], Sud, A.[Avneesh], Makadia, A.[Ameesh], Huang, J.W.[Jing-Wei], Nießner, M.[Matthias], Funkhouser, T.[Thomas],
Local Implicit Grid Representations for 3D Scenes,
CVPR20(6000-6009)
IEEE DOI 2008
Shape, Training, Decoding, Geometry, Image reconstruction, Task analysis BibRef

Pramerdorfer, C., Kampel, M., van Loock, M.,
Multi-View Classification and 3D Bounding Box Regression Networks,
ICPR18(734-739)
IEEE DOI 1812
Image segmentation, Proposals, Network architecture, Geometry, Solid modeling BibRef

Songsri-In, K.[Kritaphat], Trigeorgis, G.[George], Zafeiriou, S.P.[Stefanos P.],
Deep and Deformable: Convolutional Mixtures of Deformable Part-Based Models,
FG18(218-225)
IEEE DOI 1806
Convolution, Deformable models, Face, Face detection, Feature extraction, Object detection, Strain, Deep learning, Face landmarks detection BibRef

Eguizabal, A., Schreier, P.J.,
A weighting strategy for Active Shape Models,
ICIP17(3610-3614)
IEEE DOI 1803
Covariance matrices, Detectors, Image segmentation, Reliability, Shape, Training, X-ray imaging, Active Shape Models, fluoroscopic X-rays BibRef

Yoo, J.J.[Jae-Jun], Jung, Y.[Younghoon], Lim, M.[Mikyoung], Ye, J.C.[Jong Chul], Wahab, A.[Abdul],
A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media,
SIIMS(10), No. 3, 2017, pp. 1104-1138.
DOI Link 1710
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Yasuda, K.[Kotaro], Ahmad, M.O.[M. Omair],
Development of an Active Shape Model Using the Discrete Cosine Transform,
ICIAR17(259-267).
Springer DOI 1706
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Le, H.[Huu], Chin, T.J.[Tat-Jun], Suter, D.[David],
Conformal Surface Alignment with Optimal Mobius Search,
CVPR16(2507-2516)
IEEE DOI 1612
Deformations of surfaces with the same intrinsic shape BibRef

Tretschk, E.[Edgar], Tewari, A.[Ayush], Golyanik, V.[Vladislav], Zollhöfer, M.[Michael], Stoll, C.[Carsten], Theobalt, C.[Christian],
Patchnets: Patch-based Generalizable Deep Implicit 3d Shape Representations,
ECCV20(XVI: 293-309).
Springer DOI 2010
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Innmann, M.[Matthias], Zollhöfer, M.[Michael], Nießner, M.[Matthias], Theobalt, C.[Christian], Stamminger, M.[Marc],
VolumeDeform: Real-Time Volumetric Non-rigid Reconstruction,
ECCV16(VIII: 362-379).
Springer DOI 1611
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Kinauer, S.[Stefan], Berman, M.[Maxim], Kokkinos, I.[Iasonas],
Monocular Surface Reconstruction Using 3D Deformable Part Models,
DeepLearn16(III: 296-308).
Springer DOI 1611
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Wang, X.[Xuan], Salzmann, M.[Mathieu], Wang, F.[Fei], Zhao, J.Z.[Ji-Zhong],
Template-Free 3D Reconstruction of Poorly-Textured Nonrigid Surfaces,
ECCV16(VII: 648-663).
Springer DOI 1611
monocular nonrigid 3D reconstruction. BibRef

Haitman, Y.[Yuval], Francos, J.M.[Joseph M.], Scharf, L.L.[Louis L.],
Grassmannian Dimensionality Reduction for Optimized Universal Manifold Embedding Representation of 3D Point Clouds,
TAG-CV21(4196-4204)
IEEE DOI 2112
Manifolds, Dimensionality reduction, Space vehicles, Quantization (signal), Search problems BibRef

Yavo, Z., Francos, J.M., Santamaria, I., Scharf, L.L.,
Estimating the mean manifold of a deformable object from noisy observations,
IVMSP16(1-5)
IEEE DOI 1608
Context BibRef

Zhang, Q.A.[Qi-Ang], Bhalerao, A.[Abhir], Helm, E.[Emma], Hutchinson, C.[Charles],
Active shape model unleashed with multi-scale local appearance,
ICIP15(4664-4668)
IEEE DOI 1512
Active shape model BibRef

Alabort-i-Medina, J.[Joan], Zafeiriou, S.P.[Stefanos P.],
Unifying holistic and Parts-Based Deformable Model fitting,
CVPR15(3679-3688)
IEEE DOI 1510
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Daniel, P.[Patrik], Medla, M.[Matej], Mikula, K.[Karol], Remešíková, M.[Mariana],
Reconstruction of Surfaces from Point Clouds Using a Lagrangian Surface Evolution Model,
SSVM15(589-600).
Springer DOI 1506
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Jensen, R.R.[Rasmus R.], Nielsen, J.B.[Jannik B.], Larsen, R.[Rasmus], Paulsen, R.R.[Rasmus R.],
Anatomically Correct Surface Recovery: A Statistical Approach,
SCIA15(212-223).
Springer DOI 1506
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Locher, A.[Alex], Elsen, L.[Lennart], Boix, X.[Xavier], Van Gool, L.J.[Luc J.],
Reconstruction of Inextensible Surfaces on a Budget via Bootstrapping,
3DV14(240-247)
IEEE DOI 1503
3D reconstruction of deformable surfaces from a monocular view. Cameras BibRef

Li, C.[Chao], Ma, S.[Si], Wang, T.[Tao], Sheng, H.[Hao], Xiong, Z.[Zhang],
Object Detection Using Deformable Part Model in RGB-D Data,
ISVC14(I: 678-687).
Springer DOI 1501
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Fang, H.[Hui], Deng, J.J.[Jing-Jing], Xie, X.H.[Xiang-Hua], Grant, P.W.[Philip W.],
From clamped local shape models to global shape model,
ICIP13(3513-3517)
IEEE DOI 1402
Active shape models BibRef

Ferraz, L.[Luis], Binefa, X.[Xavier],
Fast and robust monocular 3D deformable shape estimation for inextensible and smooth surfaces,
ICPR12(2104-2107).
WWW Link. 1302
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Ishikawa, S.[Shota], Tan, J.K.[Joo Kooi], Kim, H.[Hyoungseop], Ishikawa, S.[Seiji],
3-D Recovery of a Non-rigid Object from a Single Camera View Employing Multiple Coordinates Representation,
ACPR13(946-950)
IEEE DOI 1408
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Earlier:
3-D recovery of a non-rigid object from a single camera view by piecewise recovery and synthesis,
ICPR12(1443-1446).
WWW Link. 1302
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Alcantarilla, P.F.[Pablo F.], Bartoli, A.E.[Adrien E.],
Deformable 3D Reconstruction with an Object Database,
BMVC12(133).
DOI Link 1301
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Vicente, S.[Sara], Agapito, L.[Lourdes],
Soft Inextensibility Constraints for Template-Free Non-rigid Reconstruction,
ECCV12(III: 426-440).
Springer DOI 1210
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Pirsiavash, H.[Hamed], Ramanan, D.[Deva],
Steerable part models,
CVPR12(3226-3233).
IEEE DOI 1208
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Pedersoli, M., Tuytelaars, T.,
Learning Where to Position Parts in 3D,
ICCV15(136-144)
IEEE DOI 1602
Computational modeling BibRef

Lopez-Sastre, R.J.[Roberto J.], Tuytelaars, T.[Tinne], Savarese, S.[Silvio],
Deformable part models revisited: A performance evaluation for object category pose estimation,
RobPerc11(1052-1059).
IEEE DOI 1201
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Chen, Y.L.[Yi-Lei], Hsu, C.T.[Chiou-Ting],
Time-variant modeling for general surface appearance,
ICIP11(1077-1080).
IEEE DOI 1201
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Liao, M.[Miao], Zhang, Q.[Qing], Wang, H.M.[Hua-Min], Yang, R.G.[Rui-Gang], Gong, M.L.[Ming-Lun],
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ICCV09(167-174).
IEEE DOI 0909
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Zouhar, A.[Alexander], Schlesinger, D.[Dmitrij], Fuchs, S.[Siegfried],
Joint Shape Classification and Labeling of 3-D Objects Using the Energy Minimization Framework,
GCPR13(71-80).
Springer DOI 1311
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Zouhar, A.[Alexander], Baloch, S.[Sajjad], Azernikov, S.[Sergei], Bahlmann, C.[Claus], Unal, G.[Gozde], Fang, T.[Tong], Fuchs, S.[Siegfried],
Freeform shape clustering for customized design automation,
3DIM09(1590-1597).
IEEE DOI 0910
Custom shapes for inplants. BibRef

Cretu, A.M.[Ana-Maria], Petriu, E.M.[Emil M.], Payeur, P.[Pierre], Khalil, F.F.[Fouad F.],
Deformable Object Segmentation and Contour Tracking in Image Sequences Using Unsupervised Networks,
CRV10(277-284).
IEEE DOI 1005
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Cretu, A.M.[Ana-Maria], Payeur, P.[Pierre], Petriu, E.M.[Emil M.],
Learning and Prediction of Soft Object Deformation Using Visual Analysis of Robot Interactions,
ISVC10(II: 232-241).
Springer DOI 1011
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Modeling of Elastic Behavior of 3D Deformable Objects from Range and Tactile Imaging,
ICIAR09(707-716).
Springer DOI 0907
Deformable object modelling. BibRef

Park, I.[Ilkwon], Byun, H.R.[Hye-Ran],
Fast gradient-based mesh generation method for the stereo image representation,
3DTV09(1-4).
IEEE DOI 0905
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Kang, B.N.[Bong-Nam], Byun, H.R.[Hye-Ran], Kim, D.J.[Dai-Jin],
Multi-resolution 3D morphable models and its matching method,
ICPR08(1-4).
IEEE DOI 0812
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Earlier: A1, A3, A2:
An efficient and accurate hierarchical ICIA fitting method for 3D Morphable Models,
FG08(1-6).
IEEE DOI 0809
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Ouellet, J.N.[Jean-Nicolas], Hébert, P.[Patrick],
ASN: Image Keypoint Detection from Adaptive Shape Neighborhood,
ECCV08(I: 454-467).
Springer DOI 0810
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Zhang, Y.J.[Yong-Jun], Du, Q.Y.[Quan-Ye],
Semiautomatic Extraction of 3D Curves Based on Snakes and Generalized Point Photogrammetry from Aerial Imagery,
ISPRS08(B3b: 731 ff).
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Song, Y.[Yi], Bai, L.[Li],
3D Modeling for Deformable Objects,
AMDO08(xx-yy).
Springer DOI 0807
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Wang, S.[Su], Zhu, Y.M.[Yu-Ming], Chen, C.S.[Chin-Sheng], Zhu, X.X.[Xin-Xiong],
Digital Design for Functionally Graded Material Components Rapid Prototyping Manufacturing,
GMP08(xx-yy).
Springer DOI 0804
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Das, S.K.[Sitansu Kumar], Mukherjee, D.P.[Dipti Prasad],
Topology Adaptive Active Membrane,
PReMI07(95-102).
Springer DOI 0712
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Kokkinos, I.[Iasonas],
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Large Scale Learning of Active Shape Models,
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CVPR14(2003-2010)
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Object recognition BibRef

Huang, R., Rakotosaona, M., Achlioptas, P., Guibas, L.J., Ovsjanikov, M.,
OperatorNet: Recovering 3D Shapes From Difference Operators,
ICCV19(8587-8596)
IEEE DOI 2004
image reconstruction, interpolation, learning (artificial intelligence), mathematical operators, Geometry BibRef

Skraba, P.[Primoz], Ovsjanikov, M.[Maks], Chazal, F.[Frederic], Guibas, L.J.[Leonidas J.],
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Towards Unsupervised Segmentation of Semi-Rigid Low-Resolution Molecular Surfaces,
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Chung, H.V.[Han-Vit], Lee, I.K.[In-Kwon],
Image-Based Deformation of Objects in Real Scenes,
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2D Cascaded AdaBoost for Eye Localization,
ICPR06(II: 1216-1219).
IEEE DOI 0609
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Niu, Z.H.[Zhi-Heng], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin], Ma, B.P.[Bing-Peng], Gao, W.[Wen],
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IWBRS05(9).
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Chang, T.L.[Tien-Lung], Liu, T.L.[Tyng-Luh],
Detecting deformable objects with flexible shape priors,
ICPR04(IV: 155-158).
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Knothe, R., Romdhani, S.[Sami], Vetter, T.,
Combining PCA and LFA for Surface Reconstruction from a Sparse Set of Control Points,
FGR06(637-644).
IEEE DOI 0604
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Romdhani, S., Vetter, T.,
Efficient, robust and accurate fitting of a 3d morphable model,
ICCV03(59-66).
IEEE DOI 0311
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Koninckx, T.P., Van Gool, L.J.,
Efficient, Active 3D Acquisition, Based on a Pattern-Specific Snake,
DAGM02(557 ff.).
Springer DOI 0303
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Li, J.[Jia], Hero, A.O.,
A spectral approach to statistical polar shape modeling,
ICIP02(I: 852-855).
IEEE DOI 0210
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Kakadiaris, I.A.[Ioannis A.], Papadakis, E.[Emmanuel], Shen, L.X.[Li-Xin], Kouri, D.[Donald], Hoffman, D.[David],
g-HDAF Multiresolution Deformable Models,
AMDO02(21 ff.).
Springer DOI 0303
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g-HDAF Multiresolution Deformable Models for Shape Modeling and Reconstruction,
BMVC02(Poster Session). 0208
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Mitran, M., Ferrie, F.P.,
Active Surface Reconstruction Using the Gradient Strategy,
ECCV02(IV: 267 ff.).
Springer DOI 0205
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Slobodan, I., Fua, P.[Pascal],
Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data,
ECCV02(II: 704 ff.).
Springer DOI 0205
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Duan, Y.[Ye], Qin, H.[Hong],
A Novel Modeling Algorithm for Shape Recovery of Unknown Topology,
ICCV01(I: 402-409).
IEEE DOI 0106
Deformable Models. BibRef

Morita, S.[Satoru],
Hierachical Density Non-rigid Object Analysis,
ScaleSpace99(471-476). BibRef 9900

Fisker, R., Carstensen, J.M., Madsen, K.,
Initialization and Optimization of Deformable Models,
SCIA99(Deformable Models). BibRef 9900

Romdhani, S., Gong, S., Psarrou, A.,
A Multi-View Nonlinear Active Shape Model Using Kernel PCA,

Multi-View Nonlinear Active Shape Model Using Kernel PCA,
BMVC99(Models and Search).
PDF File. BibRef 9900

Grosskopf, S.[Stefan], Neugebauer, P.J.[Peter Johannes],
Fitting Geometrical Deformable Models to Registered Range Images,
SMILE98(xx-yy). BibRef 9800

Fisker, R.[Rune], Carstensen, J.M.[Jens M.],
On Parameter Estimation in Deformable Models,
ICPR98(Vol I: 762-766).
IEEE DOI 9808
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Herbin, S.,
Combining Geometric and Probabilistic Structure for Active Recognition of 3-D Objects,
ECCV98(II: 748).
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di Sacco, C., Lutzember, L., and Salvetti, O.,
Deformation Analysis of Three-Dimensional Morphometric Structures,
ICIP97(I: 452-455).
IEEE DOI BibRef 9700

Zhang, Z.X.[Zi-Xin], Braun, M.[Michael],
A Deformable Model-Based Image Segmentation Algorithm for Shapes with Corners,
ICPR98(Vol I: 392-394).
IEEE DOI 9808
BibRef
Earlier:
Fully 3D Active Surface Models with Self-Inflation and Self-Deflation Forces,
CVPR97(85-90).
IEEE DOI 9704
Inflate/deflate without external forces. BibRef

Zhang, Z.X.[Zi-Xin], Braun, M.[Michael], Abbott, P.[Phillip],
A new deformable model for 3D image segmentation,
CIAP97(I: 239-246).
Springer DOI 9709
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Lin, R., Lin, W.C., Chen, C.T.,
Recovery of 3-D Closed Surfaces Using Progressive Shell Models,
ICPR96(I: 95-99).
IEEE DOI 9608
(Northwestern Univ., USA) BibRef

Furukawa, R., Imai, M., Uno, T.,
Active Tubes in Multiscale Image Queue,
ICPR96(I: 488-492).
IEEE DOI 9608
(Nara Advanced Institute of Science and Technology, J) BibRef

Welch, W.[William], Gleicher, M.L., and Witkin, A.P.,
Manipulating Surfaces Differentially,
CMU-CS-TR-91-175, September 1991.
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Gleicher, M.L., and Witkin, A.P.,
Differential Manipulation,
CMU-CS-TR-91-123, March 1991.
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And:
Creating and Manipulating Constrained Models,
CMU-CS-TR-91-125, January 1991.
PS File. Geometric, graphics objects and their manipulation. BibRef

Welch, W., and Witkin, A.P.,
Variational surface modeling,
SIGGraph-92(xx-yy).
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Gleicher, M.L.[Michael L.],
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CMU-CS-TR-94-217, November 1994. BibRef 9411 Ph.D.Thesis, CS.
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Boult, T.E.[Terrance E.], Fenster, S.D.[Samuel D.], O'Donnell, T.[Thomas],
Physics in a Fantasy World vs. Robust Statistical Estimation,
ORCV94(277-295).
Springer DOI 9412
BibRef
Earlier:
Reinterpreting Physically-Motivated Modeling,
ARPA94(II:1375-1390). BibRef

Bolle, R.M., Califano, A., Kjeldsen, R., and Mohan, R.,
Active 3D Object Models,
ICCV90(329-333).
IEEE DOI BibRef 9000

Neskovic, P., Kimia, B.B.,
Three-Dimensional Shape Representation from Curvature Dependent Surface Evolution,
ICIP94(I: 6-10).
IEEE DOI BibRef 9400

Hilton, A., Goncalves, J.G.M.,
3D Scene Representation Using A Deformable Surface,
PBMCV95(SESSION 1) BibRef 9500

Whitaker, R.T.[Ross T.],
Algorithms for Implicit Deformable Models,
ICCV95(822-827).
IEEE DOI Works on more than genus 0 objects. BibRef 9500

Stoddart, A.J., Hilton, A., Illingworth, J.,
Slime: A New Deformable Surface,
BMVC94(285-294).
PDF File. BibRef 9400

MacKay, D.J.C.,
Bayesian Methods for Adaptive Models,
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Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Deformable Models, General, Overview .