Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19652
Title: Mean-shift based mixture model for face detection in color image
Authors: Chow , TY
Lam, KM 
Keywords: Eigenvalues and eigenfunctions
Face recognition
Image colour analysis
Image segmentation
Object detection
Issue Date: 2004
Publisher: IEEE
Source: 2004 International Conference on Image Processing, 2004 : ICIP '04, 24-27 October 2004, v. 1, p. 601-604 How to cite?
Abstract: Human face detection is a challenging task under different lighting conditions. We propose an efficient and reliable algorithm to detect human faces in an image. Our algorithm uses a region-based approach to identify skin-colored pixels under various lighting conditions. Within the detected skin-color regions, a ratio method is proposed to determine possible eye candidates. Two eye candidates form a possible face region, which is then verified by means of a two-stage procedure with an eigenmask. Experimental results based on the HHI MPEG-7 face database show that this face detection algorithm is efficient and reliable under different lighting conditions.
URI: http://hdl.handle.net/10397/19652
ISBN: 0-7803-8554-3
ISSN: 1522-4880
DOI: 10.1109/ICIP.2004.1418826
Appears in Collections:Conference Paper

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