DocumentCode
2625144
Title
An Effective Method for Eye Detection Based on Texture Information
Author
Park, Chan Woo ; Kwak, Jeong Min ; Park, Hyun ; Moon, Young Shik
Author_Institution
Hanyang Univ., Seoul
fYear
2007
fDate
21-23 Nov. 2007
Firstpage
586
Lastpage
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.
Keywords
eye; face recognition; feature extraction; filtering theory; image texture; learning (artificial intelligence); AdaBoost; automatic facial region extraction; eye candidate estimation; eye detection method; eye filter; geometrical face information; illumination normalization; texture information; Boosting; Data mining; Eyes; Face detection; Humans; Image databases; Information filtering; Information filters; Lighting; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Convergence Information Technology, 2007. International Conference on
Conference_Location
Gyeongju
Print_ISBN
0-7695-3038-9
Type
conf
DOI
10.1109/ICCIT.2007.288
Filename
4420322
Link To Document