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An Effective Method for Eye Detection Based on Texture Information

Title
An Effective Method for Eye Detection Based on Texture Information
Author
문영식
Issue Date
2007-11
Publisher
IEEE
Citation
2007 International Conference on Convergence Information Technology (ICCIT 2007), Page. 586-589
Abstract
In this paper, we present a novel method for eye detection based on texture information, referred to as the eye filter. The proposed method is composed of the following four steps: automatic extraction of facial regions using AdaBoost, illumination normalization using local information, estimation of eye candidates by the eye filter based on texture information, and detection of eye locations using geometrical information of face. Experimental results show that the eye detection rate of the proposed method is 99.2% for 3137 face images in the CAS-PEAL database and JAFFE database.
URI
https://ieeexplore.ieee.org/document/4420322https://repository.hanyang.ac.kr/handle/20.500.11754/107263
ISBN
0-7695-3038-9
DOI
10.1109/ICCIT.2007.288
Appears in Collections:
COLLEGE OF COMPUTING(소프트웨어융합대학)[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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