15 February 2006 A fast eye detector using corners, color, and edges
Author Affiliations +
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li-hui Chen, Christos Grecos, "A fast eye detector using corners, color, and edges", Proc. SPIE 6063, Real-Time Image Processing 2006, 60630A (15 February 2006); doi: 10.1117/12.642759; https://doi.org/10.1117/12.642759
PROCEEDINGS
7 PAGES


SHARE
Back to Top