Presentation | 2006-09-08 Face Detection Algorithm using Face Likelihood Distribution Hiromasa Takatsuka, Masayuki Tanaka, Masatoshi Okutomi, |
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Abstract(in English) | Face detection is a useful technique in computer vision. Many face detectors have been developed in the literature. Almost all approaches for face detection focus on the face detectors which classify a given sub-window into face or non-face. However, in face detection process, since the detectors also evaluate the scanned sub-windows independently, non-faces with high face likelihood are often misdetected. In this paper, we propose a novel face detection algorithm which explicitly uses difference of face likelihood distribution between faces and non-faces. The proposed algorithm can correctly classify the non-faces misdetected by the existing algorithm. The face likelihood distribution is generated and integrated to emphasize the difference between faces and non-faces. Experiments with pre-scanned data set and real-world images show that the proposed algorithm improves the detection rate approximately by 20% and 10%, respectively. |
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Paper # | PRMU2006-70 |
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Committee | PRMU |
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Conference Date | 2006/9/1(1days) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Face Detection Algorithm using Face Likelihood Distribution |
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1st Author's Name | Hiromasa Takatsuka |
1st Author's Affiliation | Graduate School of Science and Engineering, Tokyo Institute of Technology() |
2nd Author's Name | Masayuki Tanaka |
2nd Author's Affiliation | Graduate School of Science and Engineering, Tokyo Institute of Technology |
3rd Author's Name | Masatoshi Okutomi |
3rd Author's Affiliation | Graduate School of Science and Engineering, Tokyo Institute of Technology |
Date | 2006-09-08 |
Paper # | PRMU2006-70 |
Volume (vol) | vol.106 |
Number (no) | 229 |
Page | pp.pp.- |
#Pages | 8 |
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