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Recognizing Expressions in a New Database Containing Played and Natural Expressions
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.97518th International Conference on Patt ...
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James Skelley, Center for Biological and Computational Learning, M.I.T., Cambridge, USA
Robert Fischer, Center for Biological and Computational Learning, M.I.T., Cambridge, USA
Arup Sarma, Center for Biological and Computational Learning, M.I.T., Cambridge, USA
Bernd Heisele, Honda Research Institute USA, Cambridge, USA
We describe a new expression database which contains video sequences of both played and natural expressions and an expression classification system based on warped optical flow fields and texture features. We analyze the system?s generalization performance when confronted with subjects that were not present in the training set and its recognition performance when tested on natural expressions. We evaluate several techniques for combining the classifier outputs computed on single images to perform classification of a temporal sequence of expression images.
Citation:
James Skelley, Robert Fischer, Arup Sarma, Bernd Heisele, "Recognizing Expressions in a New Database Containing Played and Natural Expressions," icpr, vol. 1, pp.1220-1225, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006
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