Presentation 2013-09-02
Study on Illumination Insensitive Face Detection Based on Normalization Techniques
Min YAO, Hiroshi NAGAHASHI,
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Abstract(in English) Face detection has been attracting much academic attention. Illumination problem is one of the most important aspects that decreases its performance. Conventional methods have focused on extracting illumination invariant features or utilizing skin color information. However, the features and colors are unreliable in adverse lighting conditions. In this paper, we investigate various illumination normalization techniques for learning-based face detection under varying illumination. They are four illumination insensitive face representation techniques and five histogram-based normalization methods including our proposed method SH (segmentation-based HHTS). The experimental results show that 1) effective illumination normalization techniques in face recognition are not necessarily useful in face detection; 2) histogram-based methods significantly outperform illumination insensitive face representation techniques in average; 3) SH obtains the best results.
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Keyword(in English) Face Detection / Illumination Normalization / Learning-based / Illumination Insensitive
Paper # PRMU2013-33,IBISML2013-13
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Conference Information
Committee PRMU
Conference Date 2013/8/26(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Study on Illumination Insensitive Face Detection Based on Normalization Techniques
Sub Title (in English)
Keyword(1) Face Detection
Keyword(2) Illumination Normalization
Keyword(3) Learning-based
Keyword(4) Illumination Insensitive
1st Author's Name Min YAO
1st Author's Affiliation Department of Information Processing, Tokyo Insitute of Technology()
2nd Author's Name Hiroshi NAGAHASHI
2nd Author's Affiliation Imaging Science and Engineering Laboratory, Tokyo Institute of Technology
Date 2013-09-02
Paper # PRMU2013-33,IBISML2013-13
Volume (vol) vol.113
Number (no) 196
Page pp.pp.-
#Pages 6
Date of Issue