8 search results - page 2 / 2 » 3D Reconstruction by Fitting Low-Rank Matrices with Missing ... |
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
We present a linear approach to the 3D reconstruction problem from occluding contours using algebraic surfaces. The problem of noise and missing data in the occluding contours extr...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
We propose a global optimization framework for 3D shape reconstruction from sparse noisy 3D measurements frequently encountered in range scanning, sparse featurebased stereo, and ...
ECCV
2002
Springer
14 years 10 months ago
2002
Springer
General multi view reconstruction from affine or projective cameras has so far been solved most efficiently using methods of factorizing image data matrices into camera and scene p...