National Tsing Hua University Institutional Repository:Automatic Multi-Layer Red-Eye Detection
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    Title: Automatic Multi-Layer Red-Eye Detection
    Authors: Po-Hao Huang
    Yu-Chieh Chien
    Shang-Hong Lai
    Teacher: 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
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    Appears in Collections:[Department of Computer Science] CS Conference Papers
    [Institute of Information Systems and Applications] ISA Conference Papers
    [Computer and Communication Research Center ] CCRC Conference Papers

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