Abstract
This paper describes a facial expression recognition system based upon Active Appearance Model (AAM), which has been typically used for the face recognition task. Given that AAM has been also used in tracking the moving object, we thought it could be effective in recognizing the facial expressions of humans. Our results show that the performance of the facial expression recognition using AAM is reliably high when it combined with an enhanced Fisher classification model. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Hong, T., Lee, Y. B., Kim, Y. G., & Kim, H. (2006). Facial expression recognition using active appearance model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3972 LNCS, pp. 69–76). Springer Verlag. https://doi.org/10.1007/11760023_11
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