INCORPORATING CORNER INFORMATION FOR MOUTH FEATURE EXTRACTION

摘要：

Mouth feature extraction is of crucial importance for face recognition. Deformable template is an efficient model for this task. However, it suffers from the problems of local minima and low convergence speed. To fill this gap, in this paper, a new energy function is proposed, which emphasizes on corner information ignored in previous methods. Thus, the energy function can reflect the properties of mouth feature effectively. Experimental results show the new method is robust.

关键词： Deformable Template Mouth feature Tracking ability

作者: HUA-CHUN TAN YU-JIN ZHANG

作者单位: Department of Transportation Engineering, Beijing Institute of Technolgoy, Beijing 100081, China Department of Electronic Engineering, Tsinghua University, Beijing 100084,China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2909-2913

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）