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A. Ahmad
A. Host-Madsen
J. Giglmayr
Kwang Mong Sim
L. Ludman
R. S. Ramakrishna
Saeid
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Illumination-Adaptive Face Detection and Facial Feature Extraction
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±è¼¼È¯, È£¿ä¼º, "Illumination-Adaptive Face Detection and Facial Feature Extraction,"
World Multioconference on Systemics, Cybernetics and Informatics(SCI2000/ISAS2000)
, 2000.
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 ±è¼¼È¯-Illumination Adaptive Face.pdf (774KB)
  
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Acknowledgment
Keywords
Abstract
Under moderate illumination conditions, human face can be easily detected by various algorithms. However, the performance of face detection algorithms deteriorates dramatically when the illumination is too high or too low because the skin color changes depending on the reflected light from the face surface. In this paper, we propose a new algorithm for adaptive human face detection under different illumination conditions. Based on the fact that the saturation component of the face color changes inversely proportional to the luminance component within some restricted range, we model the saturation component by the Cauchy probability density function (pdf). We detect facial features using the geometrical relationship of eyes, nose and mouth.
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