A fast eye detector using corners, color, and edges

Li-hui Chen; Christos Grecos

doi:10.1117/12.642759

15 February 2006 A fast eye detector using corners, color, and edges

Li-hui Chen, Christos Grecos

Proceedings Volume 6063, Real-Time Image Processing 2006; 60630A (2006) https://doi.org/10.1117/12.642759
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

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.

Citation Download Citation

Li-hui Chen and Christos Grecos "A fast eye detector using corners, color, and edges", Proc. SPIE 6063, Real-Time Image Processing 2006, 60630A (15 February 2006); https://doi.org/10.1117/12.642759

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