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    Facial image processing in computer vision

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    Publication date
    2013-05-31
    Author
    Yap, Moi H.
    Ugail, Hassan
    Keyword
    Computer vision
    Face processing
    Facial image processing
    Peer-Reviewed
    Yes
    Open Access status
    closedAccess
    
    Metadata
    Show full item record
    Abstract
    The application of computer vision in face processing remains an important research field. The aim of this chapter is to provide an up-to-date review of research efforts of computer vision scientist in facial image processing, especially in the areas of entertainment industry, surveillance, and other human computer interaction applications. To be more specific, this chapter reviews and demonstrates the techniques of visible facial analysis, regardless of specific application areas. First, the chapter makes a thorough survey and comparison of face detection techniques. It provides some demonstrations on the effect of computer vision algorithms and colour segmentation on face images. Then, it reviews the facial expression recognition from the psychological aspect (Facial Action Coding System, FACS) and from the computer animation aspect (MPEG-4 Standard). The chapter also discusses two popular existing facial feature detection techniques: Gabor feature based boosted classifiers and Active Appearance Models, and demonstrate the performance on our in-house dataset. Finally, the chapter concludes with the future challenges and future research direction of facial image processing.
    URI
    http://hdl.handle.net/10454/18943
    Version
    No full-text in the repository
    Citation
    Yap MH and Ugail H (2013) Facial image processing in computer vision. In: Image Processing: Concepts, Methodologies, Tools, and Applications. IGI Global. Vol 3: 1111-1123.
    Link to publisher’s version
    https://doi.org/10.4018/978-1-4666-3994-2.ch056
    Type
    Book chapter
    Collections
    Engineering and Informatics Publications

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