Title :
Non-rigid structure from locally-rigid motion
Author :
Taylor, Jonathan ; Jepson, Allan D. ; Kutulakos, Kiriakos N.
Author_Institution :
Dept. of Comput. Sci., Univ. of Toronto, Toronto, ON, Canada
Abstract :
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.
Keywords :
feature extraction; image motion analysis; 3-point rigid problems; 3D triangle extraction; N-view rigid problems; N-view structure-from-motion problem; locally-rigid motion; nonrigid structure; orthography; Computer science; Concrete; Image reconstruction; Layout; Mouth; Shape; Training data;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-6984-0
DOI :
10.1109/CVPR.2010.5540002