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Detecting Human Faces in Color Images MingHsuan Yang and Narendra Ahuja

Summary: Detecting Human Faces in Color Images
Ming­Hsuan Yang and Narendra Ahuja
Beckman Institute and Department of Electrical and Computer Engineering
University of Illinois at Urbana­Champaign
Urbana, IL 61801
E­mail: fmhyang, ahujag@stereo.ai.uiuc.edu
We propose a new method to detect human faces in
color images. A human skin color model is built to
capture the chromatic properties based on multivari­
ate statistical analysis. Given a color image, multi­
scale segmentation is used to generate homogeneous
regions at multiple different scales. From the coars­
est to the finest scale, regions of skin color are merged
until the shape is approximately elliptic. Postprocess­
ing is performed to determine whether a merged region
contains a human face and include the facial features
of non­skin color such as eyes and mouth if necessary.
Experimental results show that human faces in color
images can be detected regardless of size, orientation


Source: Ahuja, Narendra - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign


Collections: Computer Technologies and Information Sciences; Engineering