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- W176402625 abstract "Automatic facial expression recognition is an important problem in social signal processing that has applications ranging from treatment of autistic children to monitoring of conflict situations [6]. In psychology, facial expressions are generally described using the Facial Action Coding System (FACS; [2]), in which each facial muscle is referred to as an action unit (AU) that is present (i.e. muscle contracted) or not present (i.e. muscle relaxed). We developed a system that automatically classifies AUs based on (variations in) facial texture and shape features. The feature extraction is performed with the help of an active appearance model [1]. Detection of AU presence is performed by training a newly developed structured prediction algorithm [5] on the features thus obtained. A complete description of our system was published in [4]." @default.
- W176402625 created "2016-06-24" @default.
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- W176402625 date "2012-10-25" @default.
- W176402625 modified "2023-09-27" @default.
- W176402625 title "AU Classification using AAMs and CRFs (extended abstract)" @default.
- W176402625 hasPublicationYear "2012" @default.
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