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http://dx.doi.org/10.6109/JKIICE.2009.13.12.2547

Face Detection Algorithm and Hardware Implementation for Auto Focusing Using Face Features in Skin Regions  

Jeong, Hyo-Won (동아대학교 전자공학과)
Kwak, Boo-Dong (동아대학교 전자공학과)
Ha, Joo-Young (삼성전기 중앙연구소)
Han, Hag-Yong (BK21 고성능 멀티미디어 사업팀)
Kang, Bong-Soon (동아대학교 전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.13, no.12, 2009 , pp. 2547-2554 More about this Journal
Abstract
In this paper, we proposed a face detection algorithm and a hardware implementation method for ROI(Region Of Interest) of AF(Auto Focusing). We used face features in skin regions of YCbCr color space for face detection. The face features are the number of skin pixels in face regions, edge pixels in eye regions, and shadow pixels in lip regions. The each feature was statistically selected by 2,000 sample pictures of face. The proposed algorithm detects two faces that are closer center of the image for considering the effectiveness of hardware resource. The detected faces are displayed by rectangle for ROI of AF, and the rectangles are represented by positions in the image about starting point and ending point of the rectangles. The proposed face detection method was verified by using FPGA boards and mobile phone camera sensor.
Keywords
Auto Focusing; Face Detection; Face Features; Hardware Implementation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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