Reduced complexity Eye Detector for colour images using Harris Corners, Color heuristics and Edge maps

Chen, Lihui, Grecos, Christos and Yang, Ming Yuan (2006) Reduced complexity Eye Detector for colour images using Harris Corners, Color heuristics and Edge maps. In: 2006 Ph.D. Research in Microelectronics and Electronics. IEEE, pp. 245-248. ISBN 1424401577

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Abstract

Eye detection plays a central role in automatic face detection systems and it is also important for human-computer interaction and face tracking. In this paper, we present a novel, unsupervised scheme for detecting eyes in skin patches based on our previous work on skin patch detection (Chen and Grecos, 2005). 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 (average time 2.53 and 0.21 seconds per image respectively with un-optimized code), while retaining very high detection rates (100 and 89.5% correspondingly)

Item Type:	Book Section
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 14:22
Last Modified:	07 Mar 2019 14:22
URI:	https://norma.ncirl.ie/id/eprint/3716

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