4D Match Trees for Non-rigid Surface Alignment
暂无分享,去创建一个
[1] Martin Klaudiny,et al. Structured Representation of Non-Rigid Surfaces from Single View 3D Point Tracks , 2014, 2014 2nd International Conference on 3D Vision.
[2] Bruno Lévy,et al. Geometry-aware direction field processing , 2009, TOGS.
[3] Takeo Kanade,et al. Virtualized Reality: Constructing Virtual Worlds from Real Scenes , 1997, IEEE Multim..
[4] Jan-Michael Frahm,et al. 3D Reconstruction of Dynamic Textures in Crowd Sourced Data , 2014, ECCV.
[5] Andreas Geiger,et al. Object scene flow for autonomous vehicles , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Alvaro Collet,et al. High-quality streamable free-viewpoint video , 2015, ACM Trans. Graph..
[7] Qionghai Dai,et al. Robust Non-rigid Motion Tracking and Surface Reconstruction Using L0 Regularization , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[8] Hans-Peter Seidel,et al. Animation cartography—intrinsic reconstruction of shape and motion , 2012, TOGS.
[9] Hujun Bao,et al. Robust Bilayer Segmentation and Motion/Depth Estimation with a Handheld Camera , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Cheng Lei,et al. A new multiview spacetime-consistent depth recovery framework for free viewpoint video rendering , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[11] Adrian Hilton,et al. Segmentation Based Features for Wide-Baseline Multi-view Reconstruction , 2015, 2015 International Conference on 3D Vision.
[12] Takeo Kanade,et al. Panoptic Studio: A Massively Multiview System for Social Motion Capture , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[13] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[14] Roman P. Pflugfelder,et al. Clustering of static-adaptive correspondences for deformable object tracking , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Cristian Sminchisescu,et al. Large Displacement 3D Scene Flow with Occlusion Reasoning , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[16] Yaser Sheikh,et al. MAP Visibility Estimation for Large-Scale Dynamic 3D Reconstruction , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Adrian Hilton,et al. Model-based multiple view reconstruction of people , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[18] Slobodan Ilic,et al. Probabilistic Deformable Surface Tracking from Multiple Videos , 2010, ECCV.
[19] Gunnar Farnebäck,et al. Two-Frame Motion Estimation Based on Polynomial Expansion , 2003, SCIA.
[20] Tom Drummond,et al. Faster and Better: A Machine Learning Approach to Corner Detection , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Didier Stricker,et al. Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[22] Takashi Matsuyama,et al. Complete multi-view reconstruction of dynamic scenes from probabilistic fusion of narrow and wide baseline stereo , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[23] Kurt Keutzer,et al. Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow , 2010, ECCV.
[24] Jean-Yves Guillemaut,et al. General Dynamic Scene Reconstruction from Multiple View Video , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[25] Yael Moses,et al. Multi-view Scene Flow Estimation: A View Centered Variational Approach , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[26] Martin Klaudiny,et al. Global Non-rigid Alignment of Surface Sequences , 2013, International Journal of Computer Vision.
[27] Slobodan Ilic,et al. A Bayesian Approach to Multi-view 4D Modeling , 2015, International Journal of Computer Vision.
[28] Edmond Boyer,et al. Exact polyhedral visual hulls , 2003, BMVC.
[29] Daniel Cremers,et al. Stereoscopic Scene Flow Computation for 3D Motion Understanding , 2011, International Journal of Computer Vision.
[30] Jan-Michael Frahm,et al. Sparse Dynamic 3D Reconstruction from Unsynchronized Videos , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[31] Marc Pollefeys,et al. Modeling Dynamic Scenes Recorded with Freely Moving Cameras , 2010, ACCV.
[32] R. Prim. Shortest connection networks and some generalizations , 1957 .
[33] M. Pollefeys,et al. Unstructured video-based rendering: interactive exploration of casually captured videos , 2010, ACM Trans. Graph..
[34] Jean-Yves Guillemaut,et al. Temporally Coherent 4D Reconstruction of Complex Dynamic Scenes , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Hujun Bao,et al. 3D Reconstruction of Dynamic Scenes with Multiple Handheld Cameras , 2012, ECCV.
[36] Daniel Cremers,et al. Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction , 2014, ECCV.
[37] Jian Sun,et al. Face Alignment by Explicit Shape Regression , 2012, International Journal of Computer Vision.
[38] Dieter Fox,et al. DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] J. Kruskal. On the shortest spanning subtree of a graph and the traveling salesman problem , 1956 .
[40] Wojciech Matusik,et al. Articulated mesh animation from multi-view silhouettes , 2008, ACM Trans. Graph..
[41] Cordelia Schmid,et al. DeepFlow: Large Displacement Optical Flow with Deep Matching , 2013, 2013 IEEE International Conference on Computer Vision.
[42] Georgios D. Evangelidis,et al. Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] Rui Yu,et al. Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes , 2014, ECCV.
[44] Qi-Xing Huang,et al. Dense Human Body Correspondences Using Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).