1427 search results - page 157 / 286 » Markov Random Field Models in Computer Vision |
114
click to vote
AAAI
2008
15 years 4 months ago
2008
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
118
click to vote
ECCV
2004
Springer
16 years 3 months ago
2004
Springer
We present a vision based, adaptive, decision theoretic model of human facial displays in interactions. The model is a partially observable Markov decision process, or POMDP. A POM...
113
click to vote
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
We propose a new scheme to estimate image bias field through introducing two sparsity constraints. One is that the bias-free image has concise representation with image gradients o...
113
click to vote
AAMAS
2010
Springer
15 years 1 months ago
2010
Springer
During face-to-face interactions, listeners use backchannel feedback such as head nods as a signal to the speaker that the communication is working and that they should continue sp...
154
click to vote
ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
Human pose estimation is the task of determining the states (location, orientation and scale) of each body part. It is important for many vision understanding applications, e.g. v...