In this paper, we address the recognition of facial expressions in continuous videos. We introduce a fast and texture-independent approach that exploits facial action parameters estimated by an appearance-based 3D tracker. We represent the learned facial actions associated with different facial expressions by time series. We adopt a dynamic time warping technique for recognizing the facial expressions using similarity measures between the learned time series and the tracked ones. The developed approach can be used online and can deal with non-frontal face images since it is view-independent. Preliminary experiments demonstrated the effectiveness of the developed method.
View and texture-independent facial expression recognition in videos using dynamic programming
IEEE International Conference on Image Processing 2005 ; 2 ; II-1314
2005-01-01
651041 byte
Conference paper
Electronic Resource
English
View and Texture-Independent Facial Expression Recognition in Videos using Dynamic Programming
British Library Conference Proceedings | 2005
|Texture-independent recognition of facial expressions in image snapshots and videos
British Library Online Contents | 2013
|Facial Expression Recognition Using Continuous Dynamic Programming
British Library Conference Proceedings | 2001
|Facial expression recognition from near-infrared videos
British Library Online Contents | 2011
|