Share Email Print

Proceedings Paper

A novel eye location method based on symmetry analysis and measurement of fractal feature
Author(s): Gan Du
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

A novel method for eye location in human facial images based on symmetry analysis and the lacunarity, which is a high-order fractal feature, is proposed. Firstly, the valley field algorithm is applied to the facial image and the eye candidates are identified. Then, the principle component analysis is used to detect the symmetry axis of the human face. The eye candidates are grouped to form eye-pair candidates, and the whole image is rotated around the symmetry axis. Finally, a novel approach to estimate lacunarity value is proposed to accurately describe the local structure of eye regions. By comparing the lacunarity values of two eye regions within each eye-pair candidate, the eye pair candidate with minimum lacunarity value difference is identified as the true one. Numerical experiments demonstrate the effectiveness and reliability of this method.

Paper Details

Date Published: 24 June 2005
PDF: 10 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59604Q (24 June 2005); doi: 10.1117/12.632736
Show Author Affiliations
Gan Du, Shanghai Univ. (China)

Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top