Eye Localization Based on Maximal Complexity of Rotating Scan Lines
Authors
Sanliang Hong, Qingxiang Wu, Binshu Chen, Liuping Huang, Yanfeng Chen
Corresponding Author
Sanliang Hong
Available Online January 2015.
- 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/).
Cite this article
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 -