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Proceedings Paper

A fast eye detector using corners, color, and edges
Author(s): Li-hui Chen; Christos Grecos
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Paper 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.

Paper Details

Date Published: 15 February 2006
PDF: 7 pages
Proc. SPIE 6063, Real-Time Image Processing 2006, 60630A (15 February 2006); doi: 10.1117/12.642759
Show Author Affiliations
Li-hui Chen, Loughborough Univ. (United Kingdom)
Christos Grecos, Loughborough Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 6063:
Real-Time Image Processing 2006
Nasser Kehtarnavaz; Phillip A. Laplante, Editor(s)

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