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    Discriminant feature extraction and selection for person-independent facial expression recognition

    228384_Xue 2015.pdf (5.995Mb)
    Access Status
    Open access
    Authors
    Xue, Mingliang
    Date
    2015
    Supervisor
    Assoc. Prof. Wanquan Liu
    Assoc. Prof. Ling Li
    Assoc. Prof. Ajmal Mian
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/2159
    Collection
    • Curtin Theses
    Abstract

    This thesis is to develop new facial expression recognition techniques based on 2D/3D images or videos, with the purpose to improve the recognition efficiency and accuracy of the current state-of-art. A fully automatic facial expression recognition system is designed, including real-time landmark detection, spatio-temporal feature extraction, hierarchical classification, and most discriminant facial regions identification for expression recognition. In general, the proposed system improved the facial expression recognition state-of-art.

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