DocumentCode
1741568
Title
Weighted factorization
Author
Aguiar, Pedro M Q ; Moura, José M E
Author_Institution
Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
1
fYear
2000
fDate
2000
Firstpage
549
Abstract
Factorization methods use linear subspace constraints to recover 3D rigid structures from 2D motion. Usually, these methods give equal weight to the contribution of each region (or feature) to the estimates of the 3D structure. In this paper, we accommodate different confidence weights for the 2D motion parameter estimates of each region, by rewriting the problem as the factorization of a modified matrix. This incurs no additional computational cost
Keywords
image motion analysis; image reconstruction; image sequences; matrix decomposition; motion estimation; parameter estimation; 2D motion; 3D rigid structures recovery; confidence weights; image sequences; linear subspace constraints; modified matrix factorization; parameter estimation; shape recovery; video sequences; weighted factorization; Computational efficiency; Iterative methods; Layout; Motion estimation; Parameter estimation; Shape; Subspace constraints; Tracking; Transmission line matrix methods; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.901017
Filename
901017
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