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CVPR
1999
IEEE
14 years 9 months ago
Factorization as a Rank 1 Problem
Tomasi and Kanade [1] introduced the factorization method for recovering 3D structure from 2D video. In their formulation, the 3D shape and 3D motion are computed by using an SVD ...
Pedro M. Q. Aguiar, José M. F. Moura
CVPR
2005
IEEE
14 years 9 months ago
Robust L1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
Qifa Ke, Takeo Kanade
ECCV
2010
Springer
14 years 29 days ago
Gaussian-like Spatial Priors for Articulated Tracking
We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but ofte...
FGR
2008
IEEE
232views Biometrics» more  FGR 2008»
14 years 2 months ago
3D face recognition from multiple images: A shape-from-motion approach
In this article we explore the use of methodologies for 3D reconstruction from multiple images to recognize faces. We try to devise a strategy to tackle the problem of recognizing...
Manuel Marques, João Costeira
CVPR
2004
IEEE
14 years 9 months ago
Multibody Factorization with Uncertainty and Missing Data Using the EM Algorithm
Multibody factorization algorithms [2, 1, 16] give an elegant and simple solution to the problem of structure from motion even for scenes containing multiple independent motions. ...
Amit Gruber, Yair Weiss