scholarly journals A Suitable Adaptive Illumination Compensation Method for Face Detection

2014 ◽  
Author(s):  
Yongjun Liu ◽  
Conghua Xie
Keyword(s):  
Face Detection ◽  
Compensation Method ◽  
Illumination Compensation

Color Images Illumination Compensation Method for Human Face Region Detection

2014 ◽  
Vol 678 ◽  
pp. 162-165 ◽  
Author(s):  
Yang Yu ◽  
Xiao Bin Li ◽  
Hai Yan Sun
Keyword(s):  
Color Images ◽  
Compensation Method ◽  
Detection Accuracy ◽  
Human Face ◽  
Light Conditions ◽  
Illumination Compensation ◽  
Facial Region ◽  
Region Detection ◽  
Face Region ◽  
California Institute Of Technology

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.

Face detection for video summary using illumination-compensation and morphological processing

2009 ◽  
Vol 30 (9) ◽  
pp. 856-860 ◽  
Author(s):  
Jae-Ung Yun ◽  
Hyung-Jin Lee ◽  
Anjan Kumar Paul ◽  
Joong-Hwan Baek
Keyword(s):  
Face Detection ◽  
Morphological Processing ◽  
Illumination Compensation ◽  
Video Summary

View-Invariant Face Detection for Colorful Image

2014 ◽  
Vol 945-949 ◽  
pp. 1880-1884
Author(s):  
Hua Zhang ◽  
Li Jia Wang ◽  
Zhen Jie Wang ◽  
Wei Yi Yuan
Keyword(s):  
Face Detection ◽  
Detection Method ◽  
Color Space ◽  
Well Performance ◽  
Illumination Compensation ◽  
Face Model ◽  
Hsv Color Space ◽  
Ycbcr Color Space ◽  
Face Images ◽  
Illumination Changes

To overcome illumination changes and pose variations, a pose-invariant face detection method is presented. First, an illumination compensation method based on reference white is presented to overcome the lighting variations. The reference white is obtained according to the component Y from YCbCr color space. Then, a mixture face model is constructed by the Cb and Cr from YCbCr color space and H from the HSV color space to extract faces from colorful image. At last, an eyes model is designed to locate eyes in the obtained face images, which can distinguish face from neck and arms ultimately. The presented method is conducted on the CASIA face database. The experimental results have shown that our method is robust to pose changes and illumination variations, and it can achieve well performance.

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