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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/103468

    Authors: Hsieh, Ching-Tang;Huang, Yi;Chen, Ting-Wen;Chen, Li-Ming
    Contributors: 電機工程學系暨研究所
    Keywords: Face Recognition, PCA, SVM, Kinect
    Date: 2015-07-18
    Issue Date: 2015-07-27 14:09:41 (UTC+8)
    Publisher: Academy of Taiwan Information Systems Research (ATISR)
    Abstract: We propose a simpler and faster method to recognize face. First, we use Kinect
    to detect frontal face and get depth image information with face, then we portrayed
    face in OpenGL to construct a three-dimensional face model based on the depth
    information. The face model also retains texture information of the original face
    images, and to create a complete change depth of face. It has a good result of
    repairing the distortion in side face. We can get a set face images with different angles
    by the method proposed, In recognition part, we use PCA(Principal Component
    Analysis) to reduce the dimensions, and classified with SVM(Support Vector
    Machine). The experiments show that the side face recognition can have good results.
    Relation: International Conference on Internet Studies (NETs 2015)
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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