Eye Localization Based on Maximal Complexity of Rotating Scan Lines

DOI

10.2991/isci-15.2015.55How to use a DOI?

Keywords

skin segmentation; eye localization; scan line rotation; maximal grayscale complexity

Abstract

A novel algorithm based on maximal grayscale complexity of rotating scan lines is proposed to locate the human eye in the detected human face region. First of all, the human face regions are detected from a number of outdoor photos using the skin segmentation algorithm. Secondly, the skin block is retained in the human face region employing the skin block extraction algorithm. Finally, the grayscale complexity is computed by rotating scan line in these skin blocks and the human eyes are located at the straight line corresponding to the maximum of grayscale complexity. The proposed algorithm has a good robustness of the variation of low-resolution faces with head postures and accessories and it is much better than other approaches.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sanliang Hong
AU  - Qingxiang Wu
AU  - Binshu Chen
AU  - Liuping Huang
AU  - Yanfeng Chen
PY  - 2015/01
DA  - 2015/01
TI  - Eye Localization Based on Maximal Complexity of Rotating Scan Lines
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 405
EP  - 412
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.55
DO  - 10.2991/isci-15.2015.55
ID  - Hong2015/01
ER  -