| Presentation | 2010-09-05 Facial Expression Recognition by Ensemble Learning Using Movements of Facial Feature Points Hiroki NOMIYA, Teruhisa HOCHIN, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose a facial expression recognition method using several facial feature points such as end points and centroids of eyebrows, eyes and mouth, extracted from facial images including various facial expressions. The proposed method performs efficient facial expression recognition by utilizing simple facial features including the distance between two facial feature points and the intensity distributions around several facial feature points. In addition, the recognition accuracy can be enhanced by introducing an ensemble learning based on AdaBoost using a small number of useful facial features. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Facial Expression Recognition / Feature Selection / Ensemble Learning / AdaBoost |
| Paper # | PRMU2010-68,IBISML2010-40 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2010/8/29(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | Facial Expression Recognition by Ensemble Learning Using Movements of Facial Feature Points |
| Sub Title (in English) | |
| Keyword(1) | Facial Expression Recognition |
| Keyword(2) | Feature Selection |
| Keyword(3) | Ensemble Learning |
| Keyword(4) | AdaBoost |
| 1st Author's Name | Hiroki NOMIYA |
| 1st Author's Affiliation | Kyoto Institute of Technology() |
| 2nd Author's Name | Teruhisa HOCHIN |
| 2nd Author's Affiliation | Kyoto Institute of Technology |
| Date | 2010-09-05 |
| Paper # | PRMU2010-68,IBISML2010-40 |
| Volume (vol) | vol.110 |
| Number (no) | 187 |
| Page | pp.pp.- |
| #Pages | 8 |
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