Share Email Print
cover

Proceedings Paper

Distortion-invariant (pose and illumination) face recognition using new SVM
Author(s): David P. Casasent; Chao Yuan
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Face recognition with both pose and illumination variations is considered. In addition, we consider the ability of the classifier to reject non-member or imposter face inputs; most prior work has not addressed this. Initially, non-registered test and training set imagery is used (this is realistic) and a two-step pose estimation/face recognition processor is employed which includes registration of the test input to the reference poses. A new SVRDM support vector representation and discrimination machine classifier is proposed and initial face recognition-rejection results are presented. Face recognition and verification results are presented.

Paper Details

Date Published: 25 October 2004
PDF: 12 pages
Proc. SPIE 5608, Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision, (25 October 2004); doi: 10.1117/12.580132
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)
Chao Yuan, Siemens Corporate Research (United States)


Published in SPIE Proceedings Vol. 5608:
Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Roning, Editor(s)

© SPIE. Terms of Use
Back to Top