Face Recognition Based on Improved Tensor Neighborhood Preserving Embedding

摘要：

Tensor Neighborhood Preserving Embedding(TNPPE) is a efficient subspace dimensionality reduction model for face recognition. However, the singularity problems is still remained. In the paper, we propose an Improved Tensor Neighborhood Preserving Embedding (ITNPE) algorithm for face recognition. We evaluate the algorithm by applying it to YaleB and AR databases. The experiments demonstrate excellent performance of our algorithm for the dimensionality reduction in face recognition.

关键词： face recognition dimensionality reduction tensor neighborhood preserving embedding tensor image

作者: Feng Li

作者单位: Department of Computer Science and Technology Huaqiao University, Xiamen, China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 929-932

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）