Share Email Print

Proceedings Paper

A robust eyeball feature extraction algorithm using improved generalized symmetry transform
Author(s): Kun-Long Zuo; Wen-Yao Liu
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

Eyes or eyeballs extraction from faces is important in facial feature extraction that is crucial in human-computer interaction and other related applications. According to the eyeballs circle symmetry characteristic in face image, original generalized symmetry transform is modified. A robust algorithm proposed in this paper extracts eyeballs from single face images in three steps: (1) using snake and a Gaussian preattentive filter to generate a facial organ mask, (2) using symmetry characteristic to find some candidate points of eyeballs, (3) validating these candidate points by the eye position information. This approach is tested on the ORL database, in which eye feature is not easy to extract for the reason of glasses or closed eyes, with the exact extraction rate 88.5%. It is shown in our experiments that this approach is robust to noise and some interference from glasses.

Paper Details

Date Published: 19 March 2004
PDF: 5 pages
Proc. SPIE 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry, (19 March 2004); doi: 10.1117/12.561167
Show Author Affiliations
Kun-Long Zuo, Tianjin Univ. (China)
Wen-Yao Liu, Tianjin Univ. (China)

Published in SPIE Proceedings Vol. 5444:
Fourth International Conference on Virtual Reality and Its Applications in Industry
Jizhou Sun; Zhigeng Pan, Editor(s)

© SPIE. Terms of Use
Back to Top