Abstract
This paper proposes an eye detection algorithm robust to head pose variation. First, face region is detected by Viola-Jones algorithm. Second, in order to detect eye robust to pose variation, a window template is generated from the 3D mean face model. Finally, eye is detected and localized by using this window template. In the experiments, the proposed method is tested on CAS-PEAL database.
Original language | English |
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Title of host publication | 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781479939428 |
DOIs | |
Publication status | Published - 2014 Sept 30 |
Event | 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Kota Kinabalu, Malaysia Duration: 2014 Jan 15 → 2014 Jan 18 |
Publication series
Name | 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings |
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Other
Other | 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 |
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Country/Territory | Malaysia |
City | Kota Kinabalu |
Period | 14/1/15 → 14/1/18 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering