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Optical Engineering

Hybrid neural method for locating eyes in facial images
Author(s): David Zhang; Hui Peng; Kuanquan Wang
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Paper Abstract

Locating facial features automatically in a scene is an essential but relatively unsolved problem. We develop a novel hybrid neural method for human eye location by the following stages: (1) facial images are preprocessed for normalization; (2) the candidate regions of eyes are detected using an improved version of radial basis function (RBF) networks, which is capable of dealing with those facial images containing some changes of eye size or face orientation; and (3) a hierarchical knowledge-based approach is presented to evaluate these candidates and locate the positions of both eyes. The proposed method is tested on various face images. The experimental results illustrate the effectiveness of our method.

Paper Details

Date Published: 1 October 2001
PDF: 8 pages
Opt. Eng. 40(10) doi: 10.1117/1.1391258
Published in: Optical Engineering Volume 40, Issue 10
Show Author Affiliations
David Zhang, Hong Kong Polytechnic Univ. (Hong Kong)
Hui Peng, Hong Kong Polytechnic Univ. (Hong Kong)
Kuanquan Wang, Harbin Institute of Technology (China)

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