486 search results - page 26 / 98 » Learning bilinear models for two-factor problems in vision |
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
CVPR
2010
IEEE
14 years 18 days ago
2010
IEEE
The 3D reconstruction of a face from a single frontal image is an ill-posed problem. This is further accentuated when the face image is captured under different poses and/or compl...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
CVPR
2004
IEEE
15 years 6 days ago
2004
IEEE
Bayesian methods for visual tracking model the likelihood of image measurements conditioned on a tracking hypothesis. Image measurements may, for example, correspond to various fi...