A robust eyeball feature extraction algorithm using improved generalized symmetry transform

Kun-Long Zuo; Wen-Yao Liu

doi:10.1117/12.561167

19 March 2004 A robust eyeball feature extraction algorithm using improved generalized symmetry transform

Kun-Long Zuo, Wen-Yao Liu

Proceedings Volume 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry; (2004) https://doi.org/10.1117/12.561167
Event: Fourth International Conference On Virtual Reality and Its Applications in Industry, 2003, Tianjin, China

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.

Citation Download Citation

Kun-Long Zuo and Wen-Yao Liu "A robust eyeball feature extraction algorithm using improved generalized symmetry transform", Proc. SPIE 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry, (19 March 2004); https://doi.org/10.1117/12.561167

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