Title :
Weighted factorization
Author :
Aguiar, Pedro M Q ; Moura, José M E
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
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;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.901017
