36 search results - page 5 / 8 » Facial Expression Recognition with Pseudo-3D Hidden Markov M... |
109
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ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
83
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RAS
2000
14 years 9 months ago
2000
Most of the current work on automated facial expression analysis attempt to recognize a small set of prototypic expressions, such as joy and fear. Such prototypic expressions, how...
CVPR
2000
IEEE
15 years 11 months ago
2000
IEEE
The quest for a vision system capable of representing and recognizing arbitrary motions benefits from a low dimensional, non-specific representation of flow fields, to be used in ...
ICMI
2007
Springer
15 years 3 months ago
2007
Springer
We address the problem of automatic interpretation of nonexaggerated human facial and body behaviours captured in video. We illustrate our approach by three examples. (1) We intro...
119
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ICARCV
2006
IEEE
15 years 3 months ago
2006
IEEE
— As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart ...