Detecting Faces on Still Images using Sub-block Processing


The KIPS Transactions:PartB , Vol. 13, No. 4, pp. 417-420, Aug. 2006
10.3745/KIPSTB.2006.13.4.417,   PDF Download:

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.


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Cite this article
[IEEE Style]
C. G. Yoo, "Detecting Faces on Still Images using Sub-block Processing," The KIPS Transactions:PartB , vol. 13, no. 4, pp. 417-420, 2006. DOI: 10.3745/KIPSTB.2006.13.4.417.

[ACM Style]
Chae Gon Yoo. 2006. Detecting Faces on Still Images using Sub-block Processing. The KIPS Transactions:PartB , 13, 4, (2006), 417-420. DOI: 10.3745/KIPSTB.2006.13.4.417.