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    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/13603

    Title: Automatic Multi-Layer Red-Eye Detection
    Authors: Po-Hao Huang
    Yu-Chieh Chien
    Shang-Hong Lai
    教師: 賴尚宏
    Date: 2006
    Publisher: Institute of Electrical and Electronics Engineers Inc
    Relation: 2006 IEEE International Conference on 8-11 Oct.2006, Page(s):2013-2016
    Keywords: cameras
    face recognition
    filtering theory
    support vector machines
    Abstract: Red-eye is a frequently encountered problem caused by flash reflection bouncing back into the camera from a person's retina. In this paper, we propose a two-stage automatic red-eye detection method. At the first stage, a series of heuristic filters are used to rapidly remove impossible regions according to constraints on color, smoothness, and size. A multi-layer process is applied at this stage to prevent the influence of surrounding redness of the eye. Moreover, at each layer, the approximate size of pupil can be decided automatically without multi-scaling. At the second stage, an SVM classifier that was trained for eye detection is applied to confirm the remaining candidate regions. Some experimental results on real images show the performance of the propose algorithm
    Relation Link: http://ieeexplore.ieee.org/Xplore/dynhome.jsp
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/13603
    Appears in Collections:[資訊工程學系] 會議論文
    [資訊系統與應用研究所] 會議論文
    [電腦與通訊科技研發中心] 會議論文

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