講演名 | 2013-09-02 Study on Illumination Insensitive Face Detection Based on Normalization Techniques , |
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抄録(英) | 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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キーワード(英) | Face Detection / Illumination Normalization / Learning-based / Illumination Insensitive |
資料番号 | PRMU2013-33,IBISML2013-13 |
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研究会情報 | |
研究会 | IBISML |
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開催期間 | 2013/8/26(から1日開催) |
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講演論文情報詳細 | |
申込み研究会 | Information-Based Induction Sciences and Machine Learning (IBISML) |
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本文の言語 | ENG |
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サブタイトル(和) | |
タイトル(英) | Study on Illumination Insensitive Face Detection Based on Normalization Techniques |
サブタイトル(和) | |
キーワード(1)(和/英) | / Face Detection |
第 1 著者 氏名(和/英) | / Min YAO |
第 1 著者 所属(和/英) | Department of Information Processing, Tokyo Insitute of Technology |
発表年月日 | 2013-09-02 |
資料番号 | PRMU2013-33,IBISML2013-13 |
巻番号(vol) | vol.113 |
号番号(no) | 197 |
ページ範囲 | pp.- |
ページ数 | 6 |
発行日 |