Facial Expression Analysis

Pantic, Maja (2009) Facial Expression Analysis. In: Encyclopedia of biometrics. Springer Verlag, London, pp. 400-406. ISBN 9780387730028

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Abstract:	Facial expression recognition is a process performed by humans or computers, which consists of: 1. Locating faces in the scene (e.g., in an image; this step is also referred to as face detection), 2. Extracting facial features from the detected face region (e.g., detecting the shape of facial components or describing the texture of the skin in a facial area; this step is referred to as facial feature extraction), 3. Analyzing the motion of facial features and/or the changes in the appearance of facial features and classifying this information into some facialexpression-interpretative categories such as facial muscle activations like smile or frown, emotion (affect) categories like happiness or anger, attitude categories like (dis)liking or ambivalence, etc. (this step is also referred to as facial expression interpretation).
Item Type:	Book Section
Copyright:	© 2009 Springer
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/69470
Official URL:	http://dx.doi.org/10.1007/978-0-387-73003-5_98
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