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http://dx.doi.org/10.3745/KIPSTB.2006.13B.4.417

Detecting Faces on Still Images using Sub-block Processing  

Yoo Chae-Gon (대덕대학 컴퓨터게임제작과)
Publication Information
The KIPS Transactions:PartB / v.13B, no.4, 2006 , pp. 417-420 More about this Journal
Abstract
Detection of faces on still color images with arbitrary backgrounds is attempted in this paper. The newly proposed method is invariant to arbitrary background, number of faces, scale, orientation, skin color, and illumination through the steps of color clustering, cluster scanning, sub-block processing, face area detection, and face verification. The sub-block method makes the proposed method invariant to the size and the number of faces in the image. The proposed method does not need any pre-training steps or a preliminary face database. The proposed method may be applied to areas such as security control, video and photo indexing, and other automatic computer vision-related fields.
Keywords
Face Detection; Image Sub-Block; Still Image; Processing; Computer Vision;
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