19 search results - page 2 / 4 » Heteroscedastic Regression in Computer Vision: Problems with... |
CVPR
1999
IEEE
14 years 6 months ago
1999
IEEE
A new method for 3D rigid motion estimation is derived under the most general assumption that the measurements are corrupted by inhomogeneous and anisotropic, i.e., heteroscedasti...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
In this paper, we take the human age and pose estimation problems as examples to study automatic designing regressor from training samples with uncertain nonnegative labels. First...
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
Reliable estimation of the trifocal tensor is crucial for 3D reconstruction from uncalibrated cameras. The estimation process is based on minimizing the geometric distances betwee...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
We address the problem of inferring homogeneous reflectance (BRDF) from a single image of a known shape in an unknown real-world lighting environment. With appropriate representati...
ACCV
2010
Springer
12 years 11 months ago
2010
Springer
Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. In this paper, we propose a structu...