Color Images Illumination Compensation Method for Human Face Region Detection

Abstract:

Facial region detection has broad application prospects, but existing human face region detection methods have some rigorous requirements for the light conditions. Error detection about face area caused by the poor light conditions has a great bad effect on the follow-up processing, such as face recognition, fatigue degree evaluation based on visual. So face region detection in complex lighting conditions has always been the difficult problem. Therefore a self-adaptive illumination compensation method for color images has been proposed. Select the color face images database of the California Institute of Technology to test the method dealing with the face region detection by original image and the image after illumination compensation. In the simulation experiment, the method of Illumination compensation can effectively improve the detection accuracy. Lay the foundation for driver fatigue detection based on visual.

• Periodical: Applied Mechanics and Materials (Volume 678)
• Pages: 162-165
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.678.162
• Online since: October 2014
• Authors: Yang Yu, Xiao Bin Li, Hai Yan Sun
• Keywords: Color Space, Eye Region Detection, Global Transformation, Human-Face Detection, Lighting Compensation, Nonlinear Processing

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