56 search results - page 1 / 12 » Uncertainty Models in Quasiconvex Optimization for Geometric... |
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L-norm. Unlike L2-norm (sum of squared reprojection ...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
Geometric reconstruction problems in computer vision are often solved by minimizing a cost function that combines the reprojection errors in the 2D images. In this paper, we show t...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we propose a convex optimization based approach for piecewise planar reconstruction. We show that the task of reconstructing a piecewise planar environment can be se...
ICIP
1999
IEEE
14 years 6 months ago
1999
IEEE
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...
ICCVW
1999
Springer
13 years 9 months ago
1999
Springer
The parameters estimated by Structure from Motion SFM contain inherent indeterminacies which we call gauge freedoms. Under a perspective camera, shape and motion parameters are o...