147 search results - page 11 / 30 » Markov random field models for hair and face segmentation |
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
This paper addresses the problem of detecting and segmenting partially occluded objects of a known category. We first define a part labelling which densely covers the object. Our ...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
We address in this paper the problem of segmenting complex handritten pages such as novelist drafts or authorial manuscripts. We propose to use stochastic and contextual models in...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Many state-of-the-art segmentation algorithms rely on Markov or Conditional Random Field models designed to enforce spatial and global consistency constraints. This is often accom...
BMVC
2010
14 years 7 months ago
2010
We present a novel off-line algorithm for target segmentation and tracking in video. In our approach, video data is represented by a multi-label Markov Random Field model, and seg...