DocumentCode
3549215
Title
Articulated structure from motion by factorization
Author
Tresadern, P. ; Reid, I.
Author_Institution
Dept. of Eng. Sci., Oxford Univ., UK
Volume
2
fYear
2005
fDate
20-25 June 2005
Firstpage
1110
Abstract
Multibody affine structure from motion (SFM) methods commonly assume independent motion between objects such that the ´measurement matrix´ has rank 4k. When multiple views are available, each object is then independently calibrated to a metric co-ordinate frame. However, articulated motion results in a further decrease in rank - a fact that we exploit to detect articulated objects and determine their degrees of freedom using simple linear methods. Furthermore, these objects cannot be recovered and calibrated independently since this violates articulation constraints. We show that articulation constraints can be imposed during factorization and self-calibration to recover consistent 3D structure and motion, from which link lengths and joint angles can be computed. The stability of the method is evaluated using synthetic data for comparison with ground truth and results are also presented for real image sequences.
Keywords
image motion analysis; image sequences; matrix decomposition; object detection; articulated object detection; image motion analysis; image sequences; measurement matrix; structure from motion method; Cameras; Computer vision; Humans; Layout; Motion detection; Motion segmentation; Object detection; Shape; Stability; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-2372-2
Type
conf
DOI
10.1109/CVPR.2005.75
Filename
1467567
Link To Document