Curve Mapping Based Illumination Adjustment for Face Detection

For the robust face detection, illumination is considered as one of the great challenges. Motivated with the adaptation of the human vision system, we propose the curve mapping (CM) function to adjust the illumination conditions of the images. The lighting parameter of CM function is determined by t...

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Bibliographic Details
Published inAdvanced Concepts for Intelligent Vision Systems pp. 687 - 698
Main Authors Jiang, Xiaoyue, Zhao, Tuo, Zhao, Rongchun
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2006
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Exact sciences and technology
Pattern recognition. Digital image processing. Computational geometry
Computer vision
Luminance
Face recognition
Image processing
Brightness
Lighting
Facies
Illumination
Artificial intelligence
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Summary:For the robust face detection, illumination is considered as one of the great challenges. Motivated with the adaptation of the human vision system, we propose the curve mapping (CM) function to adjust the illumination conditions of the images. The lighting parameter of CM function is determined by the intensity distribution of the images. Therefore the CM function can adjust the images according to their own illumination conditions adaptively. The CM method will abandon no information of the original images and bring no noises to the images. But it will enhance the details of the images and adjust the images to the proper brightness. Consequently the CM method will make the images more discriminative. Experimental results show that it can improve the performance of the face detection with the CM method as a lighting-filter.
ISBN:3540446303
9783540446309
ISSN:0302-9743
1611-3349
DOI:10.1007/11864349_63