DocumentCode :
3498936
Title :
3D rigid structure from video: what are "easy" shapes and "good" motions?
Author :
Aguiar, Pedro M Q ; Moura, José M F
Author_Institution :
Inst. for Syst. & Robotics, Lisboa, Portugal
fYear :
2002
fDate :
9-11 Dec. 2002
Firstpage :
97
Lastpage :
100
Abstract :
Factorization algorithms are increasingly popular to recover 3D rigid structure from video. In this paper, we analyze the rank 1 factorization algorithm to determine what are the most suitable 3D shapes or the best 3D motions to recover the 3D structure from the 2D trajectories of the features. We show that the shape is best retrieved from orthogonal views aligned with the longest and smallest axes of inertia of the object.
Keywords :
image reconstruction; matrix decomposition; video signal processing; 3D motion; 3D shape; SFM problem; factorization algorithms; orthogonal view; structure from motion; video 3D rigid structure; Algorithm design and analysis; Cameras; Humans; Laser modes; Motion analysis; Noise robustness; Photography; Robots; Shape measurement; Virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 2002 IEEE Workshop on
Print_ISBN :
0-7803-7713-3
Type :
conf
DOI :
10.1109/MMSP.2002.1203257
Filename :
1203257
Link To Document :
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