A fast eye detector using corners, color, and edges

Chen, Li-hui and Grecos, Christos (2006) A fast eye detector using corners, color, and edges. Proceedings of SPIE - The International Society for Optical Engineering, 6063. 60630A. ISSN 0277-786X

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Abstract

Eye detection plays a central role in an automatic face detection systems and it is also important for face recognition and face tracking. In this paper, we present a novel, unsupervised scheme for detecting eyes in skin patches based on our previous work. Working on the normalized RGB color space (NRGB ), we use a combination of corner identification, color and edges as heuristics for detecting eyes. Experimental results show that our scheme is very fast in the AR and Champion databases, while retaining very high detection rates.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	07 Mar 2019 15:18
Last Modified:	07 Mar 2019 15:18
URI:	https://norma.ncirl.ie/id/eprint/3722

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