@inproceedings{3ed1be98e3464d6ea0dc8edc8539161b,
title = "MPCA on gabor tensor for face recognition",
abstract = "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.",
keywords = "Face recognition, Gabor tensor, MPCA, Representation",
author = "Jin Wu and Xuejie Nian and Wankou Yang and Changyin Sun",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; Chinese Intelligent Automation Conference, 2015 ; Conference date: 01-01-2015",
year = "2015",
doi = "10.1007/978-3-662-46469-4\_45",
language = "英语",
isbn = "9783662464687",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "421--429",
editor = "Zhidong Deng and Hongbo Li",
booktitle = "Proceedings of the 2015 Chinese Intelligent Automation Conference - Intelligent Information Processing",
}