| Presentation | 2013-03-15 Improvement of food image recognition using local feature extraction by k-means and dish detector Yuji MATSUDA, Keiji YANAI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In our previous work, we propose a method to recognize multi-food images by detecting candidate regions with several food region detectors including a circle detector, the JSEG region segmentation and sliding window search by the Deformable Part Model. In this paper, we improve food image recognition using feature extraction by k-means and dish detector. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Food image recognition / dish detector, k-means |
| Paper # | PRMU2012-207 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2013/3/7(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) | Improvement of food image recognition using local feature extraction by k-means and dish detector |
| Sub Title (in English) | |
| Keyword(1) | Food image recognition |
| Keyword(2) | dish detector, k-means |
| 1st Author's Name | Yuji MATSUDA |
| 1st Author's Affiliation | Department of Informatics, The University of Electro-Communications() |
| 2nd Author's Name | Keiji YANAI |
| 2nd Author's Affiliation | Department of Informatics, The University of Electro-Communications |
| Date | 2013-03-15 |
| Paper # | PRMU2012-207 |
| Volume (vol) | vol.112 |
| Number (no) | 495 |
| Page | pp.pp.- |
| #Pages | 5 |
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