Dynamic Facial Expression Feature Extraction and Classification Based on Candide-3 Face Model
IMCCC '14 Proceedings of the 2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control（2014）
Abstract
Face recognition involves artificial intelligence, pattern recognition, image processing, psychology and other fields. It is a critical research topic in human interaction. The facial expression recognition based on dynamic image sequence is becoming more attractive with the improvement of the computer speed. It is different between the facial expression recognition based on the dynamic image sequence and the facial expression recognition based on static image. More dynamic and static feature information is involved in the dynamic features. Expression feature extraction describes by static information and the changed trend of expression due to the collection of multiple images. This paper provides the dynamic feature extraction algorithm based on Candide-3 face model parameters to extract the dynamic feature with matching facial model.
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Key words
facial expression recognition,image matching,face recognition,dynamic feature,dynamic image sequence, facial expression, candide-3 facial model, dynamic feature,facial expression,static feature information,emotion recognition,feature extraction,image classification,facial model matching,image sequences,human interaction,candide-3 facial model,candide-3 face model,dynamic facial expression feature extraction,dynamic image sequence,static image,classification,dynamic feature information
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