8 search results - page 1 / 2 » 3D Reconstruction by Fitting Low-Rank Matrices with Missing ... |
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
SCIA
2009
Springer
13 years 12 months ago
2009
Springer
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
TSP
2008
13 years 5 months ago
2008
Abstract--Low-rank matrix approximation has applications in many fields, such as 2D filter design and 3D reconstruction from an image sequence. In this paper, one issue with low-ra...
NIPS
2003
13 years 6 months ago
2003
The problem of “Structure From Motion” is a central problem in vision: given the 2D locations of certain points we wish to recover the camera motion and the 3D coordinates of ...
3DPVT
2004
IEEE
13 years 9 months ago
2004
IEEE
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...