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    ASIA unversity > 資訊學院 > 會議論文 >  Item 310904400/5844

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/5844

    Title: Facial Expression Recognition Using A CMAC Network with Clustering Memory
    Authors: Yu-Yi Liao;Jzau-Sheng Lin;Shen-Chuan Tai
    Contributors: National Cheng Kung University
    Keywords: CMAC;Facial expression recognition;Feature extraction
    Date: 2007-12-20
    Issue Date: 2009-12-15
    Publisher: 亞洲大學資訊學院;中華電腦學會
    Abstract: In this paper, a facial expression recognition system based on CMAC (Cerebellar Model Articulation Controller) with a clustering memory is presented. Firstly, the facial expression features were automatically extracted and preprocessed from given still images in the JAFFE database in which the frontal view of faces were contained. A 2D DCT was then used to focus the key information of expression characteristics in order to decrease the size of images. Thirdly, a block size of the lower frequency of DCT coefficients is rearranged as input vectors with binary manner to send into the proposed CMAC that can rapidly obtain output using non-linear mapping with a look-up table in training or recognizing phase. Finally, the experimental results demonstrated recognition rates with various block size of coefficients in lower frequency and learning rates to show promising recognition results.
    Relation: 2007NCS全國計算機會議 12-20~21
    Appears in Collections:[資訊學院] 會議論文

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