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Optical Engineering

Face discrimination between real and synthetic humans
Author(s): Cheng-Yeu Huang; Neng-Chung Hu
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Paper Abstract

We present a method of using face color in RGB color space for discrimination between real and synthetic human faces. This involves a high-dimensional feature space, so feature dimension reduction is accomplished by the traditional method of median filtering and downsampling, and feature extraction is done with singular-value decomposition. A nonlinear support-vector machine is then used to determine whether the extracted features represent a real human face or a synthetic one. The results from our method are compared with those of traditional face recognition algorithms and are shown to have a higher rate of success even when a only small number of features are is used. The method can achieve a high level of accuracy with little computation time, and is less sensitive to facial expression variations and varying brightness levels than other methods.

Paper Details

Date Published: 1 June 2006
PDF: 11 pages
Opt. Eng. 45(6) 067001 doi: 10.1117/1.2212269
Published in: Optical Engineering Volume 45, Issue 6
Show Author Affiliations
Cheng-Yeu Huang, National Taiwan Univ. of Science and Technology (Taiwan)
Neng-Chung Hu, National Taiwan Univ. of Science and Technology (Taiwan)


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