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Optical Engineering

Novel face-detection method under various environments
Author(s): Min-Quan Jing; Ling-Hwei Chen
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Paper Abstract

We propose a method to detect a face with different poses under various environments. On the basis of skin color information, skin regions are first extracted from an input image. Next, the shoulder part is cut out by using shape information and the head part is then identified as a face candidate. For a face candidate, a set of geometric features is applied to determine if it is a profile face. If not, then a set of eyelike rectangles extracted from the face candidate and the lighting distribution are used to determine if the face candidate is a nonprofile face. Experimental results show that the proposed method is robust under a wide range of lighting conditions, different poses, and races. The detection rate for the HHI face database is 93.68%. For the Champion face database, the detection rate is 95.15%.

Paper Details

Date Published: 1 June 2009
PDF: 12 pages
Opt. Eng. 48(6) 067202 doi: 10.1117/1.3156843
Published in: Optical Engineering Volume 48, Issue 6
Show Author Affiliations
Min-Quan Jing, National Chiao Tung Univ. (Taiwan)
Ling-Hwei Chen, National Chiao Tung Univ. (Taiwan)

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