Face Recognition Using a Color Tensor Framework

摘要：

Facial images are affected by multiple factors including facial geometries, expressions, viewpoints and illuminations. We apply multi-linear algebra to separate these factors and extract the people factor used for face recognition. Compared to standard PCa and its variants, the method allows for bigger changes in viewpoints and illuminations. Our method is based on the method, adding color information, using (2D)2-PCA for dimensionality reduction and centering face recognition in a color tensor framework. Good results are obtained by doing experiments on Weizman and Facepix database.

关键词： Color tensor (2D)2-PCA Centering Tensorfaces Multilinear projection

作者: Hu Xiao-Ping Chen Duan-Sheng

作者单位: School of Computer Science and Technology, HuaQiao University Quanzhou,Fujian,, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 108-113

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）