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Proceedings Paper

Evaluation of face recognition techniques
Author(s): Bo Dai; Dengsheng Zhang
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Paper Abstract

Face recognition is an important technique which can be used in many applications. In recent years, face recognition has attracted large amount of research interest. Many recognition methods have been proposed, however, most of them are not able to make use of local salient features to effectively capture the face information. Recently, SIFT has been proposed for object matching in image retrieval area, and it proves to be a powerful matching tool. In this paper, we applied and studied SIFT method on face recognition, and compared it with the well known face recognition methods in literature, i.e., PCA and 2DPCA. Rigorous tests were carried out on 3 major face databases. Our results show SIFT has significant advantages over both PCA and 2DPCA in terms of recognition rate and number of training samples. This paper also points out some shortcomings of classic experiment method to recognize faces and improve them.

Paper Details

Date Published: 10 July 2009
PDF: 7 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890M (10 July 2009); doi: 10.1117/12.836686
Show Author Affiliations
Bo Dai, Univ. of Electronic Science and Technology of China (China)
Dengsheng Zhang, Monash Univ. (Australia)

Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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