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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 會議論文  >  Accurate Facial Feature Localization on Expressional Face Images Based on a Graphical Model Approach

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/67283

    Title: Accurate Facial Feature Localization on Expressional Face Images Based on a Graphical Model Approach
    Authors: Chia-Te Liao;Chih-Hsueh Duan;Shang-Hong Lai
    教師: 賴尚宏
    Date: 2011
    Relation: Advances in Multimedia Information Processing - PCM 2010 Lecture Notes in Computer Science,2011,Volume 6298/2011,672-681
    Keywords: Facial feature detection
    facial feature localization
    graphical model
    facial expression
    Abstract: Recent emergent face-related applications, such as face recognition and facial expression recognition, usually rely on accurate facial feature point localization. However, the variations in facial appearance, especially due to expressions, often make accurate localization of facial features very difficult. This paper proposes a graphical-model based approach for facial feature localization on expressional face images. By using the model, for localization while the influence between its local appearance and relative position is balanced. The experimental results show that our algorithm gives more accurate results than ASM and the AdaBoost-based facial feature detectors on Cohn-Kanade face database.
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/67283
    Appears in Collections:[資訊工程學系] 會議論文

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