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- W2000308232 abstract "The paper highlights the performance of video sequence-oriented facial expression recognition using Active Appearance Model -- AAM, in a comparison with the analysis based on still pictures. The AAM is used to extract relevant information regarding the shapes of the faces to be analyzed. Specific key points from a Facial Characteristic Point - FCP model are used to derive the set of features. These features are used for the classification of the expressions of a new face sample into the prototypic emotions. The classification method uses Support Vector Machines." @default.
- W2000308232 created "2016-06-24" @default.
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- W2000308232 date "2007-01-01" @default.
- W2000308232 modified "2023-10-17" @default.
- W2000308232 title "Facial expression recognition in still pictures and videos using active appearance models" @default.
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- W2000308232 doi "https://doi.org/10.1145/1330598.1330717" @default.
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