Translator Disclaimer
10 July 2009 Evaluation of face recognition techniques
Author Affiliations +
Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 74890M (2009)
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo Dai and Dengsheng Zhang "Evaluation of face recognition techniques", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890M (10 July 2009);


Intradifference-based segmentation and face identification
Proceedings of SPIE (August 25 2004)
Face recognition with multiple eigenface spaces
Proceedings of SPIE (September 21 2001)
FERET (Face Recognition Technology) program
Proceedings of SPIE (February 26 1997)
Automatic violence detection in digital movies
Proceedings of SPIE (November 01 1996)

Back to Top