Cart (Loading....) | Create Account
Close category search window
 

Sirface vs. Fisherface: recognition using class specific linear projection

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yangrong Ling ; Dept. of Comput. Sci., Georgia Univ., Athens, GA, USA ; Xiangrong Yin ; Bhandarkar, S.M.

Using a novel data dimension reduction method proposed in statistics, we develop an appearance-based face recognition algorithm which is insensitive to large variation in lighting direction and facial expression. Taking a pattern classification approach, we consider each pixel in an image as coordinate in a high-dimensional space. However, since faces are not truly Lambertian surfaces and indeed produce self-shadowing, images deviates from this linear subspace. Rather than explicitly modeling this deviation, we linearly project the image into a subspace in a manner which discounts those regions of the face with large deviation using Sliced inverse regression (SIR) [K.C. Li, 1991]. Our face recognition algorithm termed as Sirface produces well-separated classes in a low-dimensional subspace, even under severe variation in lighting and facial expression. Sirface is shown to be equivalent to the well known Fisherface algorithm [P.N. Belhumeur, et al., 1997] in the subspace sense. However, Sirface is shown to produce the optimal reduced subspace (with the fewest dimensions) resulting in a lower error rate and reduced computational expense. Experimental results comparing Sirface to Fisherface on the Yale face database are presented.

Published in:

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on  (Volume:3 )

Date of Conference:

14-17 Sept. 2003

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.