Eye Detection Based on Multi-Angle Template Matching
An eye detection algorithm from facial image based on multi-angle template is described in this paper. First, we get the face region using skin-color model, then we extract the edge of face region. After that, we can obtain the eye candidate regions with morphological opening and closing operations and symmetrical characteristics of the eyes. At last, we can accurately locate the position of eyes by multi-angle template matching. The experimental results show the effectiveness and the robustness of this algorithm.
eye detection face region skin-color model multi-angle template
Wang Jian Zhao Honglian
Information Science and Engineering, Northeastern University Shenyang, China
国际会议
2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)
浙江台州
英文
241-244
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）