@inproceedings{411b7cd35a94450cbc25570ef96da519,
title = "Face recognition by discriminant analysis with Gabor tensor representation",
abstract = "This paper proposes a novel face recognition method based on discriminant analysis with Gabor tensor representation. Although the Gabor face representation has achieved great success in face recognition, its huge number of features often brings about the problem of curse of dimensionality. In this paper, we propose a 3rd-order Gabor tensor representation derived from a complete response set of Gabor filters across pixel locations and filter types. 2D discriminant analysis is then applied to unfolded tensors 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 FERET database show promising results of the proposed method.",
keywords = "Discriminant analysis, Face recognition, Gabor tensor representation",
author = "Zhen Lei and Rufeng Chu and Ran He and Shengcai Liao and Li, {Stan Z.}",
year = "2007",
doi = "10.1007/978-3-540-74549-5_10",
language = "English",
isbn = "9783540745488",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "87--95",
booktitle = "Advances in Biometrics - International Conference, ICB 2007, Proceedings",
note = "2007 International Conference on Advances in Biometrics, ICB 2007 ; Conference date: 27-08-2007 Through 29-08-2007",
}