Dicriminative Feature Weighted Hausdorff Distance for Face Recognition

摘要：

The different face regions have different degrees of importance for face recognition. In previous weighted Hausdorff distance(HD) measures for face recognition, the weighting function are proposed to try to describe the discriminative properties of face images effectively. Motivated by the basic idea of weighting function for HD, a new weighting function based on Linear Discriminant Analysis(LDA), due to its efficient discriminative ability, is proposed to weight different face edge points. The new weighted HD, termed Edge LDA Weighted HD (ELWHD), is applied to face recognition. Experiments comparing with pervious HD measures on ORL face database show the new method achieves higher recognition rate.

关键词： Hausdorff distance face recognition LDA weighting function

作者: Huachun Tan Jianshuai Feng JieRen Yujing Zhang

作者单位: Transportation Engineering Department, Beijing Institute of Technology Beijing, China Beijing Institute of Technology Beijing, China Electronics Engineering Department. Tsinghua University Beijing,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 261-264

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）