Abstract
This chapter explores the problem of non-rigid alignment using cage-based parametrization to obtain consistent dynamic meshes without any assumptions on temporal matching.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
J. Gallego, J. Salvador, J.R. Casas, M. Pardà s, Joint multi-view foreground segmentation and 3D reconstruction with tolerance loop, in 18th IEEE International Conference on Image Processing (2011), pp. 997–1000
B. Goldlucke, M.A. Magnor, Joint 3D-reconstruction and background separation in multiple views using graph cuts, in CVPR (2003), pp. 683–694
M. Gong, L. Cheng, Real-time foreground segmentation on gpus using local online learning and global graph cut optimization, in CPR (2008), pp. 1–4
A. Laurentini, The visual hull concept for silhouette-based image understanding. IEEE Trans. Pattern Anal. Mach. Intell. 16(2), 150–162 (1994)
E. Aganj, J-P. Pons, F. Ségonne, R. Keriven. Spatio-temporal shape from silhouette using four-dimensional delaunay meshing, in ICCV (2007), pp. 1–8
W. Matusik, C. Buehler, L. McMillan, Polyhedral visual hulls for real-time rendering, in Proceedings of the 12th Eurographics Workshop on Rendering, Techniques (2001), pp. 115–126
S. Yous, H. Laga, M. Kidode, K. Chihara. Gpu-based shape from silhouettes, in Graphite ’07 (2007), pp. 71–77
R. Szeliski. Rapid octree construction from image sequences. CVGIP: Image Underst. 58(1), 23–32 (1993)
K. Müller, A. Smolic, B. Kaspar, T. Rein, P. Eisert, Octree voxel modeling with multi-view texturing in cultural heritage scenarios, (2004)
A. Erol, G. Bebis, R.D. Boyle, M. Nicolescu, Visual hull construction using adaptive sampling, in WACV-MOTION ’05 (2005), pp. 234–241
D. Knoblauch, F. Kuester, Focused volumetric visual hull with color extraction, in Proceedings of the 5th International Symposium on Advances in Visual Computing, ISVC (2009), pp. 208–217
D. Knoblauch, F. Kuester, Region-of-interest volumetric visual hull refinement, in VRST ’10 (2010), pp. 143–150
W. Matusik, C. Buehler, R. Raskar, S.J. Gortler, L. McMillan, Image-based visual hulls, in SIGGRAPH ’00 (2000), pp. 369–374
W. Matusik, C. Buehler, L. McMillan, S.J. Gortler, An efficient visual hull computation algorithm. Technical report (2002), pp. 1–5
J.R. Isidoro, Stochastic mesh-based multiview reconstruction. Ph.D. thesis (2004)
K. Grauman, G. Shakhnarovich, T. Darrell, A bayesian approach to image-based visual hull reconstruction, in Proceedings of the, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’ 03) (2003)
D. Snow, P. Viola, R. Zabih, Exact voxel occupancy with graph cuts, in CVPR (2000), pp. 345–352
A. Ladikos, S. Benhimane, N. Navab, Efficient visual hull computation for real-time 3d reconstruction using cuda, in Proceedings of the 2008 Conference on Computer Vision and Pattern Recognition Workshops (2008)
H. Kim, M. Sarim, T. Takai, J.-Y. Guillemaut, A. Hilton, Dynamic 3d scene reconstruction in outdoor environments, in 3DPVT (2010)
B. Mercier, D. Meneveaux, Shape from silhouette: Image pixels for marching cubes. J. WSCG’2005 13, 112–118 (2005)
P. Milne, F. Nicolls, G. Jager, Visual hull surface estimation, in PRASA (2004)
C. Liang, K.-Y. Kenneth Wong, Exact visual hull from marching cubes, in VISAPP, Institute for Systems and Technologies of Information, Control and, Communication (INSTICC) (2008), pp. 597–604
J. Salvador, X. Suau, J.R. Casas, From silhouettes to 3d points to mesh: towards free viewpoint video, in 3DVP (2010), pp. 19–24
A. Hornung, L. Kobbelt, Robust reconstruction of watertight 3d models from non-uniformly sampled point clouds without normal information, in SGP ’06 (2006), pp. 41–50
M. Kazhdan, A. Klein, K. Dalal, H. Hoppe, Unconstrained isosurface extraction on arbitrary octrees, in SGP (2007), pp. 125–133
M. Sormann, C. Zach, J. Bauer, K. Karner, H. Bishof, Watertight multi-view reconstruction based on volumetric graph-cuts, in SCIA (2007), pp. 393–402
Z. J. Wood, P. Schröder, D. Breen, M. Desbrun, Semi-regular mesh extraction from volumes, in Proceedings of the Conference on Visualization (2000), pp. 275–282
B. Goldlucke, M.A. Magnor, Space-time isosurface evolution for temporally coherent 3d reconstruction, in CVPR (2004), pp. 350–355
J. Sreevalsan-Nair, L. Linsen, B. Hamann, Topologically accurate dual isosurfacing using ray intersection. J. Virtual Reality Broadcast. 4(4), 12 (2007)
A.A. Montenegro, L. Velho, P.C.P. Carvalho, J. Jr. Sossai, Polygonization of volumetric reconstructions from silhouettes, in SIBGRAPI (2006)
H. Hoppe, T. DeRose, T. Duchamp, M. Halstead, H. Jin, J. McDonald, J. Schweitzer, W. Stuetzle, Piecewise smooth surface reconstruction, in SIGGRAPH ’94 (1994)
M. Goesele, B. Curless, S.M. Seitz, Multi-view stereo revisited, in CVPR ’06 (2006), pp. 2402–2409
Y. Liu, Q. Dai, W. Xu, A point-cloud-based multiview stereo algorithm for free-viewpoint video. IEEE Trans. Visual Comput. Graph. 16(3), 407–18 (2010)
T. Tung, S. Nobuhara, T. Matsuyama, Simultaneous super-resolution and 3d video using graph-cuts, in CVPR (2008)
H. Schirmacher, M. Li, M.A. Magnor, H.-P. Seidel, Combining stereo and visual hull information for on-line reconstruction and rendering of dynamic scenes, in IEEE Workshop on Multimedia, Signal Processing (2002), pp. 9–12
C.H. Esteban, F. Schmitt, Silhouette and stereo fusion for 3d object modeling, in Fourth International Conference on 3D Digital Imaging and Modeling (2004), pp. 46–54
Y. Liu, G. Chen, N. Max, C. Hofsetz, P. McGuinness. Visual hull rendering with multi-view stereo refinement, in WSCG’04 (2004), pp. 261–268
P. Song, X. Wu, M.Y. Wang, Volumetric stereo and silhouette fusion for image-based modeling. Vis. Comput. 26, 1435–1450 (2010)
C. Wu, Y. Liu, Q. Dai, B. Wilburn, Fusing multiview and photometric stereo for 3d reconstruction under uncalibrated illumination. IEEE Trans. Vis. Comput. Graph. 17, 1082–1095 (2011)
Y. Liu, Q. Dai, W. Xu, Graph-cuts fusion of distance fidelity maps for volumetric multi-view stereo. J. Electron. (China) 18(3), 449–454 (2009)
S. Tran, L.S. Davis, 3d surface reconstruction using graph cuts with surface constraints, in ECCV (2006), pp. 219–231
C.H. Esteban, F. Schmitt, A snake approach for high quality image-based 3d object modeling, in Variational, Geometric and Level Set Methods in Computer Vision (2003), pp. 241–248
C.H. Esteban, F. Schmitt, Silhouette and stereo fusion for 3d object modeling. Comput. Vis. Image Underst. 96(3), 367–392 (2004)
S. Paris, F.X. Sillion, L. Quan, A surface reconstruction method using global graph cut optimization. Int. J. Comput. Vision 66(21), 41–161 (2004)
G. Vogiatzis, C. Hernandez, R. Cipolla, Reconstruction in the round using photometric normals and silhouettes, in CVPR (2006), pp. 1847–1854
G. Vogiatzis, P.H.S. Torr, R. Cipolla, Multi-view stereo via volumetric graph-cuts (2005)
A. Ladikos, S. Benhimane, N. Navab, Multi-view reconstruction using narrow-band graph-cuts and surface normal optimization, in BMVC (2008)
P. Paalanen, J.-K. Kamarainen, Narrow baseline GLSL multiview stereo, in 3DPVT (2010)
S.N. Sinha, P. Mordohai, M. Pollefeys, Multi-view stereo via graph cuts on the dual of an adaptive tetrahedral mesh, in ICCV 2007 (2007)
A. Hornung, L. Kobbelt, Hierarchical volumetric multi-view stereo reconstruction of manifold surfaces based on dual graph embedding, in CVPR ’06 (2006), pp. 503–510
F. Cuzzolin, A. Sarti, S. Tubaro, Invariant action classification with volumetric data (2005)
S. Y. Cheng, M.M. Trivedi, Hand pose estimation using expectation-constrained-maximization from voxel data, in CVRR, (Technical report) (2005)
E. de Aguiar, C. Theobalt, M. Magnor, H. Theisel, H.-P. Seidel, M3 : Marker-free model reconstruction and motion tracking from 3d voxel data (2004)
E. de Aguiar, C. Theobalt, M. Magnor, H.P. Seidel, Reconstructing human shape and motion from multi-view video, in CVMP (2005), pp. 42–49
K. Li, Q. Dai, W. Xu, Markerless shape and motion capture from multi-view video sequences. IEEE Trans. Circuits Syst. Video Technol. 21(3), 320–334 (2011)
B. Berendsen, X. Luo, W. Hürst, R.C. Veltkamp, Volumetric modeling of 3d human pose from multiple video (2007)
S. Ando, W. Xiaojun, A. Suzuki, K. Wakabayashi, H. Koike, Human pose estimation for image monitoring (Image Processing Technologies for Image Monitoring Services), in Special Feature (2007)
J. Starck, A. Hilton, Model-based multiple view reconstruction of people, in ICCV ’03 (2003)
C. Curio, M.A. Giese, Combining view-based and model-based tracking of articulated human movements, in WACV-MOTION (2005)
F. Caillette, A. Galata, T. Howard, Real-time 3-d human body tracking using learnt models of behaviour. Comput. Vis. Image Underst. 109, 112–125 (2008)
B. Michoud, E. Guillou, H.B. Pulido, S. Bouakaz, Real-time marker-free motion capture from multiple cameras, in ICCV (2007)
T. Yang, Y. Zhang, M. Li, D. Shao, X. Zhang, A multi-camera network system for markerless 3d human body voxel reconstruction, in ICIG ’09 (2009), pp. 706–711
P.J. Besl, N.D. McKay, A method for registration of 3-d shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 239–256 (1992)
S. Rusinkiewicz, Marc Levoy, Efficient variants of the ICP algorithm, in Third International Conference on 3D Digital Imaging and Modeling (3DIM) (2001)
A. Segal, D. Haehnel, S. Thrun, Generalized-icp science and systems, in Proceedings of Robotics (2009)
T. Jost, H. Hügli, Fast icp algorithms for shape registration, in Proceedings of the 24th DAGM Symposium on, Pattern Recognition (2002), pp. 91–99
S. Corazza, L. Mündermann, E. Gambaretto, G. Ferrigno, T.P. Andriacchi, Markerless motion capture through visual hull, articulated icp and subject specific model generation. Int. J. Comput. Vision 1–2, 156–169 (2010)
W. Luo, T. Yamasaki, K. Aizawa, Articulated human motion capture from segmented visual hulls and surface reconstruction, in APSIPA (Annual summit and conference) (2010)
S. Pellegrini, K. Schindler, D. Nardi, A generalisation of the icp algorithm for articulated bodies, in BMVC (2008)
D. Anguelov, D. Koller, P. Srinivasan, S. Thrun, H.-C. Pang, and J. Davis, The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces, in Advances in Neural Information Processing Systems (NIPS 2004) (2005)
D. Anguelov, D. Koller, H.-C. Pang, P. Srinivasan, S. Thrun, Recovering articulated object models from 3d range data, in Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, UAI ’04 (2004)
W. Chang, M. Zwicker, Automatic registration for articulated shapes, in Computer Graphics Forum (Proceedings of SGP 2008) (2008)
Y. Pekelny, C. Gotsman, Articulated object reconstruction and markerless motion capture from depth video. Comput. Graph. Forum 27(2), 399–408 (2008)
Q. Zheng, A. Sharf, A. Tagliasacchi, B. Chen, H. Zhang, A. Sheffer, D. Cohen-Or, Consensus skeleton for non-rigid space-time registration. Comput. Graph.Forum (Special Issue of Eurographics) 29(2), 635–644 (2010)
W. Chang, M. Zwicker, Global registration of dynamic range scans for articulated model reconstruction. ACM Trans. Graph. 30, 26:1–26:15 (2011)
L. Sigal, A.O. Balan, M.J. Black, Combined discriminative and generative articulated pose and non-rigid shape estimation, In NIPS’07 (2007)
L.-J. Chu, C.-P. Chen, C.-S. Chen, Y.-P. Hung, 3d human motion tracking with soft-joint constrained icp, in IPPR Conference on Computer Vision Graphics and Image Processing (CVGIP) (2008)
S. Arya, D.M. Mount, N.S. Netanyahu, R. Silverman, A.Y. Wu, An optimal algorithm for approximate nearest neighbor searching fixed dimensions. J. ACM 45(6), 89—923 Nov (1998)
M. Greenspan, G. Godin, A nearest neighbor method for efficient ICP, in Proceedings of Third International Conference on 3D Digital Imaging and Modeling (2001), pp. 161–168
M. Connor, P. Kumar, Fast construction of k-nearest neighbor graphs for point clouds. IEEE Trans. Visual Comput. Graphics 16(4), 599–608 (2010)
K.-L. Low, Linear least-squares optimization for point-to-plane icp surface registration (2004)
J. Starck, A. Hilton, Spherical matching for temporal correspondence of non-rigid surfaces, in ICCV (2005), pp. 1387–1394
T. Tung, T. Matsuyama, Dynamic surface matching by geodesic mapping for 3d animation transfer, in CVPR (2010)
N. Ahmed, C. Theobalt, C. Rössl, S. Thrun, H.-P. Seidel, Dense correspondence finding for parametrization-free animation reconstruction from video, in CVPR(2008)
A. Doshi, J. Starck, A. Hilton, An empirical study of non-rigid surface feature matching of human from 3d video. J. Virtual Reality Broadcast. 7(3), 1–11 (2010)
A. Doshi, A. Hilton, J. Starck, An empirical study of non-rigid surface feature matching, in CVMP (2008)
O. Enqvist, K. Josephson, F. Kahl, Optimal correspondences from pairwise constraints, in IEEE 12th International Conference on Computer Vision (2009), pp. 1295–1302
L. Zhang, S.-I. Choi, S.-Y. Park, Robust icp registration using biunique correspondence, in 3DIMPVT (2011), pp. 80–85
C. Stoll, Z. Karni, C. Rössl, H. Yamauchi, H.-P. Seidel, Template deformation for point cloud fitting, in SPBG (2006), pp. 27–35
I.-C. Yeh, C.-H. Lin, O. Sorkine, T.-Y. Lee, Template-based 3d model fitting using dual-domain relaxation. IEEE Trans. Visual Comput. Graphics 99, 1178–1190 (2010)
N. Hasler, C. Stoll, B. Rosenhahn, T. Thormählen, H.-P. Seidel, Technical section: Estimating body shape of dressed humans. Comput. Graph. 33(3), 211–216 (2009)
D.C. Schneider, P. Eisert, Fast nonrigid mesh registration with a data-driven deformation prior, in NORDIA09 (2009)
R.R. Paulsen, R. Larsen, Anatomically plausible surface alignment and reconstruction, in Proceedings of Theory and Practice of, Computer Graphics (2010)
M. Wand, P. Jenke, Q.-X. Huang, M. Bokeloh, L.J. Guibas, A. Schilling, Reconstruction of deforming geometry from time-varying point clouds, in SGP (2007), pp. 49–58
A. Tevs, M. Bokeloh, M. Wand, A. Schilling, H.-P. Seidel, Isometric registration of ambiguous and partial data, in CVPR (2009)
I. Eckstein, J.-P. Pons, Y. Tong, C.-C. J. Kuo, M. Desbrun, Generalized surface flows for mesh processing, in Proceedings of the fifth Eurographics symposium on Geometry processing (2007), pp. 183–192
Q.-X. Huang, B. Adams, M. Wicke, L.J. Guibas, Non-rigid registration under isometric deformations. Comput. Graph. Forum 27(5), 1449–1457 (2008)
B. Amberg, S. Romdhani, T. Vetter, Optimal step nonrigid icp algorithms for surface registration, in CVPR (2007)
R. Sagawa, K. Akasaka, Y. Yagi, H. Hamer, L. van Gool, Elastic convolved icp for the registration of deformable objects, in Proceedings of IEEE 12th International Conference on Computer Vision Workshops (3DIM2009) (2009), pp. 1558–1565
H. Abdelmunim, A.A. Farag, Elastic shape registration using an incremental free form deformation approach with the icp algorithm, in Canadian Conference on Computer and Robot Vision (CRV) (2011), pp. 212–218
T. Windheuser, U. Schlickewei, Frank R. Schmidt, D.Cremers, Large-scale integer linear programming for orientation-preserving 3d shape matching, in Computer Graphics Forum (Proceedings Symposium Geometry Processing) (2011)
D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, J. Rodgers, J. Davis, Scape: shape completion and animation of people. ACM Trans. Graph. 24(3), 408–416 (2005)
B. Allen, B. Curless, Z. Popović, The space of human body shapes: reconstruction and parameterization from range scans, in ACM SIGGRAPH (2003), pp. 587–594
B. Allen, B. Curless, Z. Popović, A. Hertzmann, Learning a correlated model of identity and pose-dependent body shape variation for real-time synthesis, in Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer, animation (2006), pp. 147–156
H. Chen, B. Bhanu, Global-to-local non-rigid shape registration, in ICPR ’06 (2006), pp. 57–60
D. Hähnel, S. Thrun, W. Burgard,. An extension of the icp algorithm for modeling nonrigid objects with mobile robots, in Proceedings of 18th International Joint Conference on, Artificial Intelligence (IJCAI-03) (2003), pp. 915–920
N. Hasler, C. Stoll, M. Sunkel, B. Rosenhahn, H.-P. Seidel. A statistical model of human pose and body shape. in Proceedings of Eurographics 2008 Computer Graphics Forum (2009)
B. Brown, S. Rusinkiewicz, Global non-rigid alignment of 3d scans. ACM Trans. Graph. (Proc. SIGGRAPH) 26(3), 1–8 (2007)
N. Thorstensen, R. Keriven, Non-rigid shape matching using geometry and photometry. in ACCV (2009), pp. 644–654
D. Münch, B. ît Combès, S. Prima, A modified icp algorithm for normal-guided surface registration. Proc. SPIE 7623 (2010)
L.-P. Morency, T. Darrell, Stereo tracking using icp and normal flow constraint, in Proceedings of 16th International Conference on Pattern Recognition, vol. 4 (2002)
Z.-Q Cheng, W. Jiang, G. Dang, R.R. Martin, J. Li, H. Li, Y. Chen, Y. Wang, B. Li, K. Xu, S. Jin, Non-rigid registration in 3d implicit vector space, in SMI ’10 (2010). pp. 37–46
C. Papazov, D. Burschka, Deformable 3d shape registration based on local similarity transforms. Comput. Graph. Forum 30(5), 1493–1502 (2011)
T. Popa, I. South-Dickinson, D. Bradley, A. Sheffer, W. Heidrich. Globally consistent space-time reconstruction. Comput. Graph. Forum (Proc. SGP) 7729, 133–147 (2010)
H. Li, M. Pauly, First steps toward the automatic registration of deformable scans. (Technical report, ETH Zurich, 2007)
A. Sharf, D.A. Alcantara, T. Lewiner, C. Greif, A. Sheffer, N. Amenta, D. Cohen-Or, Space-time surface reconstruction using incompressible flow. ACM Trans. Graph. (2008)
N.J. Mitra, S. Flory, M. Ovsjanikov, N. Gelfand, L. Guibas, H. Pottmann, Dynamic geometry registration, in Symposium on Geometry Processing (2007), pp. 173–182
M. Liao, Q. Zhang, H. Wang, R. Yang, M. Gong, Modeling deformable objects from a single depth camera, in ICCV (2009), pp. 167–174
Z.-Q. Cheng, H. Li, J. Li, Y. Chen, Y. Wang, B. Li, X. Kai, G. Dang, S. Jin, Robust non-rigid registration of large-difference deformed modelss, in CASA (2010)
H. Li, R.W. Sumner, M. Pauly, Global correspondence optimization for non-rigid registration of depth scans. Comput. Graph. Forum (Proc. SGP’08) 25(5), 1459–1468 (2008)
H. Li, B. Adams, L.J. Guibas, M. Pauly, Robust single-view geometry and motion reconstruction. ACM Trans. Graph. (Proceedings SIGGRAPH, Asia 2009) 28(5), 175–185 (2009)
A. Tevs, A. Berner, M. Wand, I. Ihrke, M. Bokeloh, J. Kerber, H.-P. Seidel, Animation cartography—intrinsic reconstruction of shape and motion. ACM Trans. Graph. 31, 12–27 (2012)
C. Budd, A, Hilton, Temporal alignment of 3d video sequences using shape and appearance, in CVMP (2010), pp. 114–122
M. Klaudiny, A. Hilton, Cooperative patch-based 3d surface tracking, in CVMP (2011), pp. 67–76
P. Huang, C. Budd, A. Hilton, Global temporal registration of multiple non-rigid surface sequences, in CVPR (2011), pp. 3473–3480
C. Budd, P. Huang, A. Hilton, Hierarchical shape matching for temporally consistent 3d video, in |textit3DIMPVT (2011), pp. 172–179
H. Li, L. Luo, D. Vlasic, P. Peers, J. Popović, M. Pauly, S. Rusinkiewicz, Temporally coherent completion of dynamic shapes. ACM Trans. Graph. 31(1), 11 (2012)
J. Süssmuth, M. Zollhöfer, G. Greiner, Animation transplantation. J. Vis. Comput. Animation, 21, 173–182 (2010)
J. Tong, J. Zhou, L. Liu, Z. Pan, H. Yan, Scanning 3d full human bodies using kinects. IEEE Trans. Vis. Comput. Graph. (Proceedings of IEEE Virtual Reality) 18(4), 643–650 (2012)
M. Desbrun, M. Meyer, P. Schröder, A.H. Barr, Implicit fairing of irregular meshes using diffusion and curvature flow, in SIGGRAPH (1999), pp. 317–324
M. Botsch, O. Sorkine, On linear variational surface deformation methods. IEEE Trans. Vis. Comput. Graph. 14(1), 213–230 Jan (2008)
I. Wald, S. Boulos, P. Shirley, Ray tracing deformable scenes using dynamic bounding volume hierarchies. ACM Trans. Graph. 26(1), 18 (2007)
I. Wald, On fast construction of sah-based bounding volume hierarchies, in Proceedings of the 2007 IEEE Symposium on Interactive Ray Tracing, RT ’07 (2007), pp. 33–40
A. Jacobson, I. Baran, J. Popović, O. Sorkine, Bounded biharmonic weights for real-time deformation. ACM Trans. Graph. 30, 165:1–165:8 (2011)
O.K.-C. Au, H. Fu, C.-L. Tai, D. Cohen-Or, Handle-aware isolines for scalable shape editing. ACM Trans. Graph. 26, 83 (2007)
D. Vlasic, I. Baran, W. Matusik, J. Popović, Articulated mesh animation from multi-view silhouettes. ACM Trans. Graph. 27(3), 1–97 Aug (2008)
J. Shi, C. Tomasi. Good features to track, in CVPR’94 (1994), pp. 593–600
B.D. Lucas, T. Kanade, An iterative image registration technique with an application to stereo vision, in IJCAI’81 (1981), pp. 674–679
T. Brox, A. Bruhn, N. Papenberg, J. Weickert, High accuracy optical flow estimation based on a theory for warping, in ECCV (4)’04 (2004), pp. 25–36
D.G. Lowe, Object recognition from local scale-invariant features, in ICCV ’99 (1999)
H. Bay, A. Ess, T. Tuytelaars, L. van Gool, Speeded-up robust features (surf). Comput. Vis. Image Underst. 110, 346–359 (2008)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Savoye, Y. (2014). Toward Non-rigid Dynamic Cage Capture. In: Cage-based Performance Capture. Studies in Computational Intelligence, vol 509. Springer, Cham. https://doi.org/10.1007/978-3-319-01538-5_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-01538-5_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01537-8
Online ISBN: 978-3-319-01538-5
eBook Packages: EngineeringEngineering (R0)