Eye Detection Algorithm Base on Area-Blocks pairing and Multi-angle Template Matching
A new approach of eye locating from facial images based on area-blocks pairing and multi-angle template is proposed. In this paper, we first get the face region using skin-color model and extract the edge of face region, then obtain the blocks of suspected eye areas by morphological processing. Last, we can locate the position of eyes accurately using area-blocks pairing and multi-angle template matching. This approach is steady for image-whirling. The experimental results have shown the effectiveness and the robustness of our proposed algorithm.
face detection area-blocks multi-angle template eye locating
Wang Jian Song Zhenzhen Zhao Honglian LiuBing Chen DeFeng
Information Science and Engineering, Northeastern UniversityShenyang, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
661-664
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）