308 search results - page 6 / 62 » Minimizing Algebraic Error in Geometric Estimation Problems |
ICCV
2005
IEEE
14 years 9 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...
ICARCV
2006
IEEE
14 years 1 months ago
2006
IEEE
— Many problems in computer vision such as pose recovery and structure estimation are formulated as a minimization process. These problems vary in the use of image measurements d...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
We provide elementary geometric arguments to show that the principal point of cameras with small to moderate field of view cannot be reliably estimated from natural, noisy images ...
CVPR
2006
IEEE
14 years 9 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 ...
SIAMIS
2010
13 years 2 months ago
2010
We study geometric reconstruction problems in one-dimensional retina vision. In such problems, the scene is modeled as a 2D plane, and the camera sensor produces 1D images of the s...