119 search results - page 1 / 24 » Factorization with missing data for 3D structure recovery |
IEEEMSP
2002
IEEE
13 years 10 months ago
2002
IEEE
—Matrix factorization methods are now widely used to recover 3D structure from 2D projections [1]. In practice, the observation matrix to be factored out has missing data, due to...
SLSFS
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
In this paper we propose a new method for the simultaneous segmentation and 3D reconstruction of interest point based articulated motion. We decompose a set of point tracks into r...
ICCV
2005
IEEE
14 years 7 months ago
2005
IEEE
Tree structured models have been widely used for determining the pose of a human body, from either 2D or 3D data. While such models can effectively represent the kinematic constra...
ICIP
2002
IEEE
14 years 7 months ago
2002
IEEE
The majority of methods available to recover 3D structure from video assume that a set of feature points are tracked across a large number of frames. This is not always possible i...