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

Chapter Contents (Back)
Deformable Volumes are a 3-D generalization of the 2-D snakes.
See also Active Contours and Snakes, Region Segmentation Issues. One way to describe the approaches are as Physics Based approaches (stiffness matrix, damping, mass, force and displacement matrix). The second is as a functional-minimization approach. Snakes, 3-D. Deformable Solids. Deformable Surfaces. Nonrigid Models. Active Volumes. Active Shape Model. Functional Minimization. Balloons.

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IEEE DOI 1410
feature extraction BibRef

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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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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
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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
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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


Ren, Y.[Yu], Chen, R.[Ronghan], Cong, Y.[Yang],
Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration,
CVPR23(17069-17078)
IEEE DOI 2309
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],
Modeling deformable objects from a single depth camera,
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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Earlier:
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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Object recognition BibRef

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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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Choi, J.[Jaeil], Szymczak, A.[Andrzej], Turk, G.[Greg], Essa, I.A.[Irfan A.],
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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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Chang, T.L.[Tien-Lung], Liu, T.L.[Tyng-Luh],
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IEEE DOI 0409
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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,
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Romdhani, S., Gong, S., Psarrou, A.,
A Multi-View Nonlinear Active Shape Model Using Kernel PCA,

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Grosskopf, S.[Stefan], Neugebauer, P.J.[Peter Johannes],
Fitting Geometrical Deformable Models to Registered Range Images,
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Fisker, R.[Rune], Carstensen, J.M.[Jens M.],
On Parameter Estimation in Deformable Models,
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IEEE DOI 9808
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Herbin, S.,
Combining Geometric and Probabilistic Structure for Active Recognition of 3-D Objects,
ECCV98(II: 748).
Springer DOI BibRef 9800

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Deformation Analysis of Three-Dimensional Morphometric Structures,
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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
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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.,
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Gleicher, M.L., and Witkin, A.P.,
Differential Manipulation,
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And:
Creating and Manipulating Constrained Models,
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Welch, W., and Witkin, A.P.,
Variational surface modeling,
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Gleicher, M.L.[Michael L.],
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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
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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.,
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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 .


Last update:Mar 16, 2024 at 20:36:19