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

Face detection and facial feature extraction using color, shape and symmetry-based cost functions

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

2 Author(s)
Saber, E. ; Xerox Corp., East Rochester, NY, USA ; Murat Tekalp, A.

This paper describes an algorithm for detecting human faces and subsequently localizing the eyes, nose, and mouth. First, we locate the face based on color and shape information. To this effect, a supervised pixel-based color classifier is used to mark all pixels which are within a prespecified distance of “skin color”. This color-classification map is then subject to smoothing employing either morphological operations or filtering using a Gibbs random field model. The eigenvalues and eigenvectors computed from the spatial covariance matrix are utilized to fit an ellipse to the skin region under analysis. The Hausdorff distance is employed as a means for comparison, yielding a measure of proximity between the shape of the region and the ellipse model. Then, we introduce symmetry-based cost functions to locate the center of the eyes, tip of nose, and center of mouth within the facial segmentation mask. The cost functions are designed to take advantage of the inherent symmetries associated with facial patterns. We demonstrate the performance of our algorithm on a variety of images

Published in:

Pattern Recognition, 1996., Proceedings of the 13th International Conference on  (Volume:3 )

Date of Conference:

25-29 Aug 1996

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.