MPCA on Gabor Tensor for Face Recognition

摘要：

　　There is a growing interest in subspace learning techniques for face recognition.This paper proposes a novel face recognition method based on MPCA with Gabor tensor representation.Although the Gabor face representation has achieved great success in face recognition,the excessive dimension of the data space often brings the algorithms into the curse of dimensionality dilemma.In this paper,we propose a 3rd-order Gabor tensor representation derived from a complete response set of 40 Gabor filters.Then MPCA(Multi-linear Principal Component Analysis)is applied to each Gabor tensor to extract three discriminative subspaces.The dimension reduction is done in such a way that most useful information is retained.The subspaces are finally integrated for classification.Experimental results on ORL database show promising results of the proposed method.

关键词： Face recognition MPCA Gabor tensor Representation

作者: Jin Wu Xuejie Nian Wankou Yang Changyin Sun

作者单位: School of Automation,Southeast University,Nanjing 210096,China;Key Lab of Measurement and Control of School of Automation,Southeast University,Nanjing 210096,China;Key Lab of Measurement and Control of

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 421-429

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）