@inproceedings{0cc9e7ffbe044607a07883210882e45e,
title = "Face recognition from a single image per person using common subfaces method",
abstract = "In this paper, we propose a face recognition method from a single image per person, called the common subfaces, to solve the {"}one sample per person{"} problem. Firstly the single image per person is divided into multiple sub-images, which are regarded as the training samples for feature extraction. Then we propose a novel formulation of common vector analysis from the space isomorphic mapping view for feature extraction. In the procedure of recognition, the common vector of the subfaces from the test face image is derived with the similar procedure to the common vector, which is then compared with the common vector of each class to predict the class label of query face. The experimental results suggest that the proposed common subfaces approach provides a better representation of individual common feature and achieves a higher recognition rate in the face recognition from a single image per person compared with the traditional methods.",
author = "Li, \{Jun Bao\} and Pan, \{Jeng Shyang\} and Chu, \{Shu An\}",
year = "2007",
doi = "10.1007/978-3-540-72393-6\_108",
language = "英语",
isbn = "9783540723929",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "905--912",
booktitle = "Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings",
address = "德国",
edition = "PART 2",
note = "4th International Symposium on Neural Networks, ISNN 2007 ; Conference date: 03-06-2007 Through 07-06-2007",
}