19.9.4 Non-Rigid Shape from Motion, Point Methods

Chapter Contents (Back)
Motion, Structure. Shape from Motion. NonRigid Motion.
See also Factorizationm, Non-Rigid Motion, Object, Structure, University of London.

Webb, J.A.[Jon A.], and Aggarwal, J.K.,
Shape and Correspondence,
CVGIP(21), No. 1, January 1983, pp. 145-160.
Elsevier DOI The correspondence problem is solved along with the shape problem. Both of the results must agree. The process starts by determining (guessing) the orientation of one point, then the differences from the two views can tell the orientation at nearby points, continue expanding on this small area until the entire surface is given. BibRef 8301

Bartoli, A.E.[Adrien E.],
The Geometry of Dynamic Scenes: On Coplanar and Convergent Linear Motions Embedded in 3D Static Scenes,
CVIU(98), No. 2, May 2005, pp. 223-238.
Elsevier DOI 0501
BibRef
Earlier: BMVC02(3D and Video). 0208
BibRef

Bartoli, A.E.[Adrien E.],
A random sampling strategy for piecewise planar scene segmentation,
CVIU(105), No. 1, January 2007, pp. 42-59.
Elsevier DOI 0701
Structure-from-motion, Image-based modeling, Planar segmentation BibRef

Olsen, S.I.[Søren I.], Bartoli, A.E.[Adrien E.],
Implicit Non-Rigid Structure-from-Motion with Priors,
JMIV(31), No. 2-3, July 2008, pp. 233-244.
WWW Link. 0711
BibRef
Earlier:
Using Priors for Improving Generalization in Non-Rigid Structure-from-Motion,
BMVC07(xx-yy).
PDF File. 0709
BibRef
Earlier: A2, A1:
A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery,
WDV06(257-269).
Springer DOI 0705
BibRef

Guilbert, N.[Nicolas], Bartoli, A.E.[Adrien E.], Heyden, A.[Anders],
Affine Approximation for Direct Batch Recovery of Euclidian Structure and Motion from Sparse Data,
IJCV(69), No. 3, September 2006, pp. 317-333.
Springer DOI 0606
BibRef

Farenzena, M.[Michela], Bartoli, A.E.[Adrien E.], Mezouar, Y.[Youcef],
Efficient Camera Smoothing in Sequential Structure-from-Motion Using Approximate Cross-Validation,
ECCV08(III: 196-209).
Springer DOI 0810
BibRef

Vidal, R.[René], Ma, Y.[Yi], Soatto, S.[Stefano], Sastry, S.[Shankar],
Two-View Multibody Structure from Motion,
IJCV(68), No. 1, June 2006, pp. 7-25.
Springer DOI 0605
From noise free point correspondences. multibody epipolar constraint and its associated multibody fundamental matrix.
See also Three-View Multibody Structure from Motion. BibRef

Shakernia, O., Vidal, R.[Rene], Sastry, S.[Shankar],
Infinitesimal motion estimation from multiple central panoramic views,
Motion02(229-234).
IEEE DOI 0303
BibRef

Vidal, R.[Rene], Ma, Y.[Yi], Hsu, S.[Shawn], Sastry, S.[Shankar],
Optimal Motion Estimation from Multiview Normalized Epipolar Constraint,
ICCV01(I: 34-41).
IEEE DOI 0106
minimize the reprojection error subject to constraints from all images. BibRef

Vidal, R.[Rene], Hartley, R.I.[Richard I.],
Three-View Multibody Structure from Motion,
PAMI(30), No. 2, February 2008, pp. 214-227.
IEEE DOI 0712
BibRef
Earlier: A2, A1:
The Multibody Trifocal Tensor: Motion Segmentation from 3 Perspective Views,
CVPR04(I: 769-775).
IEEE DOI 0408

See also Motion segmentation with missing data using powerfactorization and GPCA.
See also Two-View Multibody Structure from Motion. BibRef

Hartley, R.I.[Richard I.], Vidal, R.[René],
Perspective Nonrigid Shape and Motion Recovery,
ECCV08(I: 276-289).
Springer DOI 0810
BibRef

Wang, G.H.[Guang-Hui], Tsui, H.T.[Hung-Tat], Wu, Q.M.J.[Q.M. Jonathan],
Rotation constrained power factorization for structure from motion of nonrigid objects,
PRL(29), No. 1, 1 January 2008, pp. 72-80.
Elsevier DOI 0711
Rotation constrained power factorization, Structure from motion; Nonrigid factorization, Singular value decomposition, Sequential factorization BibRef

Gotardo, P.F.U.[Paulo F.U.], Martinez, A.M.[Aleix M.],
Computing Smooth Time Trajectories for Camera and Deformable Shape in Structure from Motion with Occlusion,
PAMI(33), No. 10, October 2011, pp. 2051-2065.
IEEE DOI 1109
BibRef
And:
Kernel non-rigid structure from motion,
ICCV11(802-809).
IEEE DOI 1201
BibRef
And:
Non-rigid structure from motion with complementary rank-3 spaces,
CVPR11(3065-3072).
IEEE DOI 1106
Assume smooth 2D trajectories. Weak-perspective camera model. compute euclidean 3D shape directly. BibRef

Hamsici, O.C.[Onur C.], Gotardo, P.F.U.[Paulo F.U.], Martinez, A.M.[Aleix M.],
Learning Spatially-Smooth Mappings in Non-Rigid Structure From Motion,
ECCV12(IV: 260-273).
Springer DOI 1210
BibRef

Zhou, H., Li, X., Sadka, A.H.,
Nonrigid Structure-From-Motion From 2-D Images Using Markov Chain Monte Carlo,
MultMed(14), No. 1, January 2012, pp. 168-177.
IEEE DOI 1201
BibRef

Vogel, C.[Christoph], Schindler, K.[Konrad], Roth, S.[Stefan],
3D Scene Flow Estimation with a Piecewise Rigid Scene Model,
IJCV(115), No. 1, October 2015, pp. 1-28.
Springer DOI 1511
BibRef
Earlier: A1, A3, A2:
View-Consistent 3D Scene Flow Estimation over Multiple Frames,
ECCV14(IV: 263-278).
Springer DOI 1408
BibRef
Earlier: A1, A2, A3:
Piecewise Rigid Scene Flow,
ICCV13(1377-1384)
IEEE DOI 1403
Award, Marr Prize, HM. BibRef
And: A1, A3, A2:
An Evaluation of Data Costs for Optical Flow,
GCPR13(343-353).
Springer DOI 1311
BibRef
Earlier: A1, A2, A3:
3D scene flow estimation with a rigid motion prior,
ICCV11(1291-1298).
IEEE DOI 1201
BibRef

Cho, J.C.[Jung-Chan], Lee, M.[Minsik], Oh, S.H.[Song-Hwai],
Complex Non-rigid 3D Shape Recovery Using a Procrustean Normal Distribution Mixture Model,
IJCV(117), No. 3, May 2016, pp. 226-246.
Springer DOI 1605
BibRef
And: A2, A1, A3:
Consensus of Non-rigid Reconstructions,
CVPR16(4670-4678)
IEEE DOI 1612
BibRef

Lee, M.[Minsik], Cho, J.C.[Jung-Chan], Oh, S.H.[Song-Hwai],
Procrustean Normal Distribution for Non-Rigid Structure from Motion,
PAMI(39), No. 7, July 2017, pp. 1388-1400.
IEEE DOI 1706
Deformable models, Discrete cosine transforms, Gaussian distribution, Optimization, Shape, Procrustean normal distribution, non-rigid structure from motion, statistical shape model, structure, from, motion BibRef
Earlier: Add A3: Choi, C.H.[Chong-Ho], CVPR13(1280-1287)
IEEE DOI 1309
Non-Rigid Structure from Motion, Procrustean Normal Distribution BibRef

Lee, M.[Minsik], Choi, C.H.[Chong-Ho], Oh, S.H.[Song-Hwai],
A Procrustean Markov Process for Non-rigid Structure Recovery,
CVPR14(1550-1557)
IEEE DOI 1409
Markov process BibRef

Dai, Y.C.[Yu-Chao], Li, H.D.[Hong-Dong], He, M.Y.[Ming-Yi],
Projective Multiview Structure and Motion from Element-Wise Factorization,
PAMI(35), No. 9, 2013, pp. 2238-2251.
IEEE DOI 1307
BibRef
Earlier:
Element-Wise Factorization for N-View Projective Reconstruction,
ECCV10(IV: 396-409).
Springer DOI 1009
Cameras BibRef

Dai, Y.C.[Yu-Chao], Deng, H.Z.[Hui-Zhong], He, M.Y.[Ming-Yi],
Dense non-rigid structure-from-motion made easy: A spatial-temporal smoothness based solution,
ICIP17(4532-4536)
IEEE DOI 1803
Cameras, Image reconstruction, Laplace equations, Robustness, Shape, spatial-temporal smoothness BibRef

Dai, Y.C.[Yu-Chao], Li, H.D.[Hong-Dong], He, M.Y.[Ming-Yi],
A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization,
IJCV(107), No. 2, April 2014, pp. 101-122.
WWW Link. 1404
BibRef
Earlier: CVPR12(2018-2025).
IEEE DOI Award, CVPR. 1208
BibRef

Kumar, S.[Suryansh], Dai, Y.C.[Yu-Chao], Li, H.D.[Hong-Dong],
Spatio-temporal union of subspaces for multi-body non-rigid structure-from-motion,
PR(71), 2017, pp. 428-443.
Elsevier DOI 1707
BibRef
Earlier:
Multi-Body Non-Rigid Structure-from-Motion,
3DV16(148-156)
IEEE DOI 1701
Structure, from, Motion, (SfM). affine transforms BibRef

Kumar, S.[Suryansh], Cherian, A., Dai, Y.C.[Yu-Chao], Li, H.D.[Hong-Dong],
Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective,
CVPR18(254-263)
IEEE DOI 1812
Shape, Manifolds, Strain, Computational modeling, Task analysis, Deformable models, BibRef

Kumar, S.[Suryansh], Van Gool, L.J.[Luc J.],
Organic Priors in Non-rigid Structure from Motion,
ECCV22(II:71-88).
Springer DOI 2211
BibRef

Kumar, S.[Suryansh],
Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion,
CVPR19(5341-5350).
IEEE DOI 2002
BibRef

Probst, T.[Thomas], Paudel, D.P.[Danda Pani], Chhatkuli, A.[Ajad], Van Gool, L.J.[Luc J.],
Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length,
ECCV18(XIII: 776-793).
Springer DOI 1810
BibRef

Chhatkuli, A.[Ajad], Pizarro, D.[Daniel], Bartoli, A.E.[Adrien E.], Collins, T.[Toby],
A Stable Analytical Framework for Isometric Shape-from-Template by Surface Integration,
PAMI(39), No. 5, May 2017, pp. 833-850.
IEEE DOI 1704
BibRef
Earlier: A1, A2, A3, Only:
Non-Rigid Shape-from-Motion for Isometric Surfaces using Infinitesimal Planarity,
BMVC14(xx-yy).
HTML Version. 1410
BibRef
And: A3, A2, A4, Only:
A Robust Analytical Solution to Isometric Shape-from-Template with Focal Length Calibration,
ICCV13(961-968)
IEEE DOI 1403
isometric, reconstruction, template. Deformation of a template to the image. Cameras BibRef

Parashar, S.[Shaifali], Pizarro, D.[Daniel], Bartoli, A.E.[Adrien E.],
Isometric Non-Rigid Shape-from-Motion with Riemannian Geometry Solved in Linear Time,
PAMI(40), No. 10, October 2018, pp. 2442-2454.
IEEE DOI 1809
BibRef
Earlier:
Isometric Non-rigid Shape-from-Motion in Linear Time,
CVPR16(4679-4687)
IEEE DOI 1612
Shape, Measurement, Tensile stress, Cameras, Deformable models, Manifolds, 3D reconstruction, NRSfM, infinitesimal planarity BibRef

Parashar, S.[Shaifali], Pizarro, D.[Daniel], Bartoli, A.E.[Adrien E.],
Robust Isometric Non-Rigid Structure-From-Motion,
PAMI(44), No. 10, October 2022, pp. 6409-6423.
IEEE DOI 2209
Image reconstruction, Shape, Measurement, Mathematical model, Tensors, Strain, 3D computer vision, NRSfM, robustness, isometry BibRef

Parashar, S.[Shaifali], Bartoli, A.E.[Adrien E.], Pizarro, D.[Daniel],
Self-Calibrating Isometric Non-Rigid Structure-from-Motion,

Springer DOI 1810
BibRef

Parashar, S., Salzmann, M., Fua, P.,
Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings,
CVPR20(2056-2064)
IEEE DOI 2008
Strain, Shape, Surface reconstruction, Deformable models, Image reconstruction, Complexity theory BibRef

Chhatkuli, A.[Ajad], Pizarro, D.[Daniel], Bartoli, A.E.[Adrien E.],
Stable Template-Based Isometric 3D Reconstruction in All Imaging Conditions by Linear Least-Squares,
CVPR14(708-715)
IEEE DOI 1409
3D Reconstruction, Deformation, Isometry BibRef

Gallardo, M.[Mathias], Pizarro, D.[Daniel], Collins, T.[Toby], Bartoli, A.E.[Adrien E.],
Shape-From-Template with Curves,
IJCV(128), No. 1, January 2020, pp. 121-165.
Springer DOI 2002
BibRef
Earlier: A1, A2, A4, A3:
Shape-from-Template in Flatland,
CVPR15(2847-2854)
IEEE DOI 1510
BibRef

Gallardo, M.[Mathias], Collins, T.[Toby], Bartoli, A.E.[Adrien E.],
Dense Non-rigid Structure-from-Motion and Shading with Unknown Albedos,
ICCV17(3904-3912)
IEEE DOI 1802
BibRef
Earlier:
Can We Jointly Register and Reconstruct Creased Surfaces by Shape-from-Template Accurately?,
ECCV16(IV: 105-120).
Springer DOI 1611
BibRef
And:
Using Shading and a 3D Template to Reconstruct Complex Surface Deformations,
BMVC16(xx-yy).
HTML Version. 1805
convex programming, image matching, image motion analysis, image reconstruction, image texture, shape recognition, BibRef

Chhatkuli, A.[Ajad], Pizarro, D.[Daniel], Collins, T.[Toby], Bartoli, A.E.[Adrien E.],
Inextensible Non-Rigid Structure-from-Motion by Second-Order Cone Programming,
PAMI(40), No. 10, October 2018, pp. 2428-2441.
IEEE DOI 1809
BibRef
Earlier:
Inextensible Non-Rigid Shape-from-Motion by Second-Order Cone Programming,
CVPR16(1719-1727)
IEEE DOI 1612
Cameras, Shape, Image reconstruction, Deformable models, Surface reconstruction, Robustness, maximum depth heuristic BibRef

Park, S., Lee, M., Kwak, N.,
Procrustean Regression: A Flexible Alignment-Based Framework for Nonrigid Structure Estimation,
IP(27), No. 1, January 2018, pp. 249-264.
IEEE DOI 1712
computational complexity, image motion analysis, regression analysis, NRSfM, bound constraints, non-rigid shape analysis BibRef

Karaev, N.[Nikita], Rocco, I.[Ignacio], Graham, B.[Benjamin], Neverova, N.[Natalia], Vedaldi, A.[Andrea], Rupprecht, C.[Christian],
DynamicStereo: Consistent Dynamic Depth from Stereo Videos,
CVPR23(13229-13239)
IEEE DOI 2309
BibRef

Novotny, D., Ravi, N., Graham, B.[Benjamin], Neverova, N.[Natalia], Vedaldi, A.[Andrea],
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion,
ICCV19(7687-7696)
IEEE DOI 2004
feature extraction, image motion analysis, image reconstruction, learning (artificial intelligence), matrix decomposition, Deformable models BibRef

Wang, J., Sun, Z., Chen, X., Lam, K., Zeng, Z.,
A CSF-Based CNR Approach for Small-Size Image Sequences,
SPLetters(26), No. 12, December 2019, pp. 1808-1811.
IEEE DOI 2001
feature extraction, image motion analysis, image reconstruction, image sequences, NRSFM, CSF-based CNR approach, consensus of non-rigid reconstruction BibRef

Chen, X., Sun, Z., Zeng, Z., Lam, K.,
An Effective Approach for Nonrigid Structure From Motion With Complex Deformation,
MultMedMag(27), No. 3, July 2020, pp. 88-98.
IEEE DOI 2009
Shape analysis, Trajectory, Strain, Deformable models, feature vector selection BibRef

Cha, G.H.[Geon-Ho], Lee, M.S.[Min-Sik], Cho, J.C.[Jung-Chan], Oh, S.H.[Song-Hwai],
Reconstruct as Far as You Can: Consensus of Non-Rigid Reconstruction from Feasible Regions,
PAMI(43), No. 2, February 2021, pp. 623-637.
IEEE DOI 2101
Trajectory, Strain, Benchmark testing, Structure from motion, Cameras, Shape, structure from motion BibRef

Kong, C.[Chen], Lucey, S.[Simon],
Deep Non-Rigid Structure From Motion With Missing Data,
PAMI(43), No. 12, December 2021, pp. 4365-4377.
IEEE DOI 2112
BibRef
Earlier:
Deep Non-Rigid Structure From Motion,
ICCV19(1558-1567)
IEEE DOI 2004
Solid modeling, Encoding, Neural networks, missing data. cameras, image motion analysis, image reconstruction, learning (artificial intelligence), Sparse matrices BibRef

Sengupta, A.[Agniva], Bartoli, A.[Adrien],
ToTem NRSfM: Object-Wise Non-rigid Structure-from-Motion with a Topological Template,
IJCV(132), No. 6, June 2024, pp. 2135-2176.
Springer DOI 2406
BibRef


Ji, H.[Haorui], Deng, H.[Hui], Dai, Y.C.[Yu-Chao], Li, H.D.[Hong-Dong],
Unsupervised 3D Pose Estimation with Non-Rigid Structure-from-Motion Modeling,
WACV24(3302-3311)
IEEE DOI 2404
Deformable models, Solid modeling, Deformation, Shape, Pose estimation, Pipelines, Algorithms, 3D computer vision BibRef

Zeng, H.[Haitian], Dai, Y.C.[Yu-Chao], Yu, X.[Xin], Wang, X.H.[Xiao-Han], Yang, Y.[Yi],
PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-rigid Structure-from-Motion,
ICCV21(5580-5589)
IEEE DOI 2203
Representation learning, Manifolds, Visualization, Shape, Color, Stereo, 3D from multiview and other sensors, BibRef

Haas, R.[René], Graßhof, S.[Stella], Brandt, S.S.[Sami S.],
Tensor-based Subspace Factorization for StyleGAN,
FG21(1-8)
IEEE DOI 2303
Measurement, Tensors, Codes, Databases, Face recognition, Semantics, Stability analysis BibRef

Haas, R.[René], Graßhof, S.[Stella], Brandt, S.S.[Sami S.],
Controllable GAN Synthesis Using Non-Rigid Structure-from-Motion,
GCV23(678-687)
IEEE DOI 2309
BibRef

Graßhof, S.[Stella], Brandt, S.S.[Sami Sebastian],
Tensor-Based Non-Rigid Structure from Motion,
WACV22(2254-2263)
IEEE DOI 2202
Solid modeling, Tensors, Structure from motion, Shape, Computational modeling, Transforms, Learning and Optimization BibRef

Örnhag, M.V.[Marcus Valtonen], Iglesias, J.P.[José Pedro], Olsson, C.[Carl],
Bilinear Parameterization for Non-Separable Singular Value Penalties,
CVPR21(3896-3905)
IEEE DOI 2111
Structure from motion, Machine learning, Convex functions, Pattern recognition, Optimization, Standards BibRef

Iglesias, J.P.[José Pedro], Olsson, C.[Carl], Örnhag, M.V.[Marcus Valtonen],
Accurate Optimization of Weighted Nuclear Norm for Non-rigid Structure from Motion,
ECCV20(XXVII:21-37).
Springer DOI 2011
BibRef

Kumar, S.,
Non-Rigid Structure from Motion: Prior-Free Factorization Method Revisited,
WACV20(51-60)
IEEE DOI 2006
Shape, Benchmark testing, Cameras, Strain, Matrix decomposition, Structure from motion BibRef

Wang, C.Y.[Chao-Yang], Kong, C.[Chen], Lucey, S.[Simon], Wang, C., Kong, C., Lucey, S.,
Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning,
ICCV19(743-752)
IEEE DOI 2004
3D pose from non-rigid structure from motion. feature extraction, image motion analysis, image reconstruction, learning (artificial intelligence), pose estimation, Training BibRef

Sahasrabudhe, M., Shu, Z., Bartrum, E., Güler, R.A., Samaras, D., Kokkinos, I.,
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion,
GMDL19(4054-4064)
IEEE DOI 2004
geometry, image coding, image colour analysis, image motion analysis, image reconstruction, Disentanglement BibRef

Sidhu, V.[Vikramjit], Tretschk, E.[Edgar], Golyanik, V.[Vladislav], Agudo, A.[Antonio], Theobalt, C.[Christian],
Neural Dense Non-rigid Structure from Motion with Latent Space Constraints,
ECCV20(XVI: 204-222).
Springer DOI 2010
BibRef

Golyanik, V.[Vladislav], Jonas, A., Stricker, D.[Didier], Theobalt, C.,
Intrinsic Dynamic Shape Prior for Dense Non-Rigid Structure from Motion,
3DV20(692-701)
IEEE DOI 2102
Shape, Strain, Image reconstruction, Trajectory, Cameras, D CMDR BibRef

Golyanik, V.[Vladislav], Jonas, A., Stricker, D.[Didier],
Consolidating Segmentwise Non-Rigid Structure from Motion,
MVA19(1-6)
DOI Link 1806
BibRef
Earlier: A1, A3, Only:
Dense Batch Non-Rigid Structure from Motion in a Second,
WACV17(254-263)
IEEE DOI 1609

WWW Link. image motion analysis, image reconstruction, image segmentation, image sequences, least squares approximations, optimisation, Strain. C++ languages, Optimization, Real-time systems, Runtime, Shape, Symmetric matrices. BibRef

Slavcheva, M., Baust, M., Ilic, S.,
SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-rigid Motion,
CVPR18(2646-2655)
IEEE DOI 1812
Shape, Cameras, Computational modeling, Level set, Strain, Pipelines BibRef

Golyanik, V.[Vladislav], Mathur, A.S.[Aman Shankar], Stricker, D.[Didier],
NRSfM-Flow: Recovering Non-Rigid Scene Flow from Monocular Image Sequences,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Golyanik, V.[Vladislav], Fetzer, T., Stricker, D.[Didier],
Accurate 3D Reconstruction of Dynamic Scenes from Monocular Image Sequences with Severe Occlusions,
WACV17(282-291)
IEEE DOI 1609

WWW Link. Cameras, Image reconstruction, Image sequences, Manifolds, Noise measurement, Optimization, Shape BibRef

Dai, Y.C.[Yu-Chao], Li, H.D.[Hong-Dong],
Simultaneous Correspondences Estimation and Non-Rigid Structure Reconstruction,
DICTA16(1-7)
IEEE DOI 1701
Cameras BibRef

Hu, J., Aoki, T.,
NON-rigid structure from motion via sparse self-expressive representation,
ICIP17(4537-4541)
IEEE DOI 1803
BibRef
Earlier:
Points classification for non-rigid structure from motion,
ICIP16(2584-2588)
IEEE DOI 1610
Cameras, Image reconstruction, Shape, Sparse matrices, Trajectory, sparse combination. Decision support systems BibRef

Wang, G.H.[Guang-Hui], Zelek, J.S.[John S.], Wu, Q.M.J.[Q.M. Jonathan],
Robust Structure from Motion of Nonrigid Objects in the Presence of Outlying and Missing Data,
CRV13(159-166)
IEEE DOI 1308
Algorithm design and analysis BibRef

Zhu, S.Q.[Sheng-Qi], Zhang, L.[Li], Smith, B.M.[Brandon M.],
Model evolution: An incremental approach to non-rigid structure from motion,
CVPR10(1165-1172).
IEEE DOI 1006
BibRef

Zhou, H.Y.[Hui-Yu], Schaefer, G.[Gerald], Liu, T.W.[Tang-Wei], Lin, F.Q.[Fa-Quan],
3-D structure recovery from 2-D observations,
ICIP09(4309-4312).
IEEE DOI 0911
Motion and structure. Non-rigid motion a combination of rigid and non-rigid. BibRef

Brand, M.[Matthew],
A Direct Method for 3D Factorization of Nonrigid Motion Observed in 2D,
CVPR05(II: 122-128).
IEEE DOI 0507
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Factorizationm, Non-Rigid Motion, Object, Structure, University of London .


Last update:Sep 28, 2024 at 17:47:54