Facial Expression Recognition

Maja Pantic

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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).
    Original languageUndefined
    Title of host publicationEncyclopedia of biometrics
    EditorsS. Li, A. Jain
    Place of PublicationLondon
    PublisherSpringer
    Pages400-406
    Number of pages7
    ISBN (Print)978-0-387-73002-8
    DOIs
    Publication statusPublished - 20 Jul 2009

    Publication series

    Name
    PublisherSpringer Verlag
    Number6
    Volume6

    Keywords

    • METIS-264294
    • IR-69470
    • Facial Action Coding
    • HMI-HF: Human Factors
    • EWI-17111
    • HMI-MI: MULTIMODAL INTERACTIONS
    • Facial Expression Analysis

    Cite this

    Pantic, M. (2009). Facial Expression Recognition. In S. Li, & A. Jain (Eds.), Encyclopedia of biometrics (pp. 400-406). [10.1007/978-0-387-73003-5_98] London: Springer. https://doi.org/10.1007/978-0-387-73003-5_98