An Eye Detector Based on Cues and Heuristics with a Good Accuracy/Complexity Trade-off

Grecos, Christos and Yang, Mingyuan (2008) An Eye Detector Based on Cues and Heuristics with a Good Accuracy/Complexity Trade-off. In: 2008 NASA/ESA Conference on Adaptive Hardware and Systems. IEEE, pp. 492-497. ISBN 9780769531663

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Abstract

Eye detection plays a central role in automatic face detection systems and it is also important for face recognition and face tracking. Working on the normalized RGB color space (NRGB), we initially use a combination of corner identification, color and edges as cues for localizing eyes. The eyes localization process is aided by its application on modeled skin patches based on our previous work (Chen and Grecos, 2005). Subsequently, heuristics are applied on these localized cues for the final eye detectors. Experimental results show that our scheme is very fast in the AR and Champion databases, while retaining very high detection rates.

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 13:16
Last Modified:	07 Mar 2019 13:16
URI:	https://norma.ncirl.ie/id/eprint/3705

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