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    A framework of face recognition with set of testing images

    235644_Fan K 2015.pdf (2.630Mb)
    Access Status
    Open access
    Authors
    Fan, Ke
    Date
    2014
    Supervisor
    Assoc. Prof. Ling Li
    Prof. Wan-Quan Liu
    Assoc. Prof. Ajmal Mian
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/2378
    Collection
    • Curtin Theses
    Abstract

    We propose a novel framework to solve the face recognition problem base on set of testing images. Our framework can handle the case that no pose overlap between training set and query set. The main techniques used in this framework are manifold alignment, face normalization and discriminant learning. Experiments on different databases show our system outperforms some state of the art methods.

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