Presentation | 2006-03-16 Decision Tree Construction in the Continuous Feature Space for Face Detection Hiromu Hayashi, Toshikazu Wada, Takekazu Kato, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, recognition based face detection is getting a major research field in Computer Vision. Especially, Paul Viola's cascaded classifier based face dete ction method is most highlighted, because of its fast detection speed while cha nging the scale, position, and orientation of the template on the image. The ad vantage of this method is that most of the inputs, i.e., non-face images are re jected in early stage of the cascade. However, this method has two limitations 1) the length of cascade becomes longer while increasing the training images in cluding multi aspect images of human faces, 2) re-training of whole classifier is required when we add a single training sample. In this paper, we propose a decision tree based classifier for solving these problems. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Face Deteciton / Decision Tree |
Paper # | PRMU2005-251 |
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Committee | PRMU |
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Conference Date | 2006/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Decision Tree Construction in the Continuous Feature Space for Face Detection |
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Keyword(1) | Face Deteciton |
Keyword(2) | Decision Tree |
1st Author's Name | Hiromu Hayashi |
1st Author's Affiliation | Graduate School of System Engineering, Wakayama University() |
2nd Author's Name | Toshikazu Wada |
2nd Author's Affiliation | Graduate School of System Engineering, Wakayama University |
3rd Author's Name | Takekazu Kato |
3rd Author's Affiliation | Graduate School of System Engineering, Wakayama University |
Date | 2006-03-16 |
Paper # | PRMU2005-251 |
Volume (vol) | vol.105 |
Number (no) | 673 |
Page | pp.pp.- |
#Pages | 6 |
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