Circle-based Eye Center Localization (CECL)
Abstract
We propose an improved eye center localization method based on the Hough transform, called Circle-based Eye Center Localization (CECL) that is simple, robust, and achieves accuracy on a par with typically more complex state-of-the-art methods. The CECL method relies on color and shape cues that distinguish the iris from other facial structures. The accuracy of the CECL method is demonstrated through a comparison with 15 state-of-the-art eye center localization methods against five error thresholds, as reported in the literature. The CECL method achieved an accuracy of 80.8% to 99.4% and ranked first for 2 of the 5 thresholds. It is concluded that the CECL method offers an attractive alternative to existing methods for automatic eye center localization.
Cite
@article{arxiv.1506.04500,
title = {Circle-based Eye Center Localization (CECL)},
author = {Yustinus Eko Soelistio and Eric Postma and Alfons Maes},
journal= {arXiv preprint arXiv:1506.04500},
year = {2015}
}
Comments
Published and presented at The 14th IAPR International Conference on Machine Vision Applications, 2015. http://www.mva-org.jp/mva2015/