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

Subpixellic eyes detection

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

1 Author(s)
Mariani, R. ; KRDL Multi-Modal Function Lab., Real World Comput. Partnership, Singapore

In a face recognition system, the normalization of the faces under scale, rotation and translation, as well as under contrast and brightness variation, is a crucial step for the extraction of stable features used to recognize a face. A way to improve the speed and the recognition performance of the overall system, is to have an accurate normalization of the images, especially in scale. Here, we present an algorithm, which constitutes the fine analysis part of a multiscale face detection algorithm in a complex background, and which detects, with a subpixellic precision, the center and the ray of the eyeballs of a person's eyes. The segment joining these two points is then used to achieve a geometrical normalization of the face's image under scale, rotation and translation. One of the major advantages of this method is to reduce greatly the number of possible scales used during the face recognition process

Published in:

Image Analysis and Processing, 1999. Proceedings. International Conference on

Date of Conference:

1999

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.