计算机应用与软件2012，Vol.29Issue(9)：77-80,4.DOI:10.3969/j.issn.1000-386x.2012.09.020
基于兴趣点的人脸识别流形算法
MANIFOLD ALGORITHM OF FACE RECOGNITION BASED ON INTEREST POINTS
摘要
Abstract
In face recognition applications, existing manifold algorithms are all use directly the internal structure between pixels to recognise but not consider the roles played by the pixels themselves in face image. To get over this deficiency, first, we carry out the weighted computation on the image based on interested points of probability density, the weighted image has more distinct target characteristics and is less sensible to the variations of visual angle and shape; then we use the manifold method to recognise the face. Experiments on standard face databases show that the proposed algorithm achieves quite high recognition rate and is able to improve the recognition effect of the manifold method.关键词
兴趣点/概率密度/流形学习/人脸识别Key words
Interest point/Probability density/Manifold learning/Face recognition分类
信息技术与安全科学引用本文复制引用
朱杰..基于兴趣点的人脸识别流形算法[J].计算机应用与软件,2012,29(9):77-80,4.基金项目
国家自然科学基金项目(90820306). （90820306）
