147 search results - page 29 / 30 » Markov random field models for hair and face segmentation |
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
Feature points for image correspondence are often selected according to subjective criteria (e.g. edge density, nostrils). In this paper, we present a general, non-subjective crit...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
ACL
2007
13 years 6 months ago
2007
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
ACCV
2010
Springer
12 years 12 months ago
2010
Springer
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Depth ordering is instrumental for understanding the 3D geometry of an image. We as humans are surprisingly good ordering even with abstract 2D line drawings. In this paper we pro...