Non-Rigid Structure from Locally-Rigid Motion

被引:41
|
作者
Taylor, Jonathan [1 ]
Jepson, Allan D. [1 ]
Kutulakos, Kiriakos N. [1 ]
机构
[1] Univ Toronto, Dept Comp Sci, Toronto, ON M5S 1A1, Canada
来源
2010 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) | 2010年
关键词
STRUCTURE-FROM-MOTION; SHAPE; SURFACES; STREAMS; MODELS; SCENE;
D O I
10.1109/CVPR.2010.5540002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We introduce locally-rigid motion, a general framework for solving the M-point, N-view structure-from-motion problem for unknown bodies deforming under orthography. The key idea is to first solve many local 3-point, N-view rigid problems independently, providing a "soup" of specific, plausibly rigid, 3D triangles. The main advantage here is that the extraction of 3D triangles requires only very weak assumptions: (1) deformations can be locally approximated by near-rigid motion of three points (i.e., stretching not dominant) and (2) local motions involve some generic rotation in depth. Triangles from this soup are then grouped into bodies, and their depth flips and instantaneous relative depths are determined. Results on several sequences, both our own and from related work, suggest these conditions apply in diverse settings-including very challenging ones (e. g., multiple deforming bodies). Our starting point is a novel linear solution to 3-point structure from motion, a problem for which no general algorithms currently exist.
引用
收藏
页码:2761 / 2768
页数:8
相关论文
共 50 条
  • [21] Local Non-Rigid Structure-from-Motion from Diffeomorphic Mappings
    Parashar, Shaifali
    Salzmann, Mathieu
    Fua, Pascal
    2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2020, : 2056 - 2064
  • [22] Learning Spatially-Smooth Mappings in Non-Rigid Structure From Motion
    Hamsici, Onur C.
    Gotardo, Paulo F. U.
    Martinez, Aleix M.
    COMPUTER VISION - ECCV 2012, PT IV, 2012, 7575 : 260 - 273
  • [23] Recursive non-rigid structure from motion with online learned shape prior
    Tao, Lili
    Mein, Stephen J.
    Quan, Wei
    Matuszewski, Bogdan J.
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2013, 117 (10) : 1287 - 1298
  • [24] Dense Non-Rigid Structure-from-Motion and Shading with Unknown Albedos
    Gallardo, Mathias
    Collins, Toby
    Bartoli, Adrien
    2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2017, : 3904 - 3912
  • [25] A Local Deviation Constraint Based Non-Rigid Structure From Motion Approach
    Chen, Xia
    Sun, Zhan-Li
    Lam, Kin-Man
    Zeng, Zhigang
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 7 (05) : 1455 - 1464
  • [26] A Closed-Form Uncertainty Propagation in Non-Rigid Structure From Motion
    Song, Jingwei
    Patel, Mitesh
    Jasour, Ashkan
    Ghaffari, Maani
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (03) : 6479 - 6486
  • [27] Self-Calibrating Isometric Non-Rigid Structure-from-Motion
    Parashar, Shaifali
    Bartoli, Adrien
    Pizarro, Daniel
    COMPUTER VISION - ECCV 2018, PT I, 2018, 11205 : 259 - 274
  • [28] Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion
    Kumar, Suryansh
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 5341 - 5350
  • [29] Controllable GAN Synthesis Using Non-Rigid Structure-from-Motion
    Haas, Rene
    Grasshof, Stella
    Brandt, Sami S.
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW, 2023, : 678 - 687
  • [30] Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length
    Probst, Thomas
    Paudel, Danda Pani
    Chhatkuli, Ajad
    Van Gool, Luc
    COMPUTER VISION - ECCV 2018, PT XIII, 2018, 11217 : 776 - 793