| Presentation | 2011-12-15 Image feature construction for robot navigation based upon images taken by a fixed-point camera Toshiaki SHIOYA, Naoya OHTA, Yasushi KANAZAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Many useful image features including SIFT have been developed for image registrations. However, they are designed for general purpose and may not be optimal for a specific purpose. This report describes a learning based construction of image features for robot navigation purpose. It uses images taken from fixed locations for a long period and the goodness of features is evaluated on these images. The image features are constructed by maximizing the goodness defined on the images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Image Feature / Learning / Images from Fixed Location / Robot Navigation |
| Paper # | PRMU2011-125 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2011/12/8(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) | Image feature construction for robot navigation based upon images taken by a fixed-point camera |
| Sub Title (in English) | |
| Keyword(1) | Image Feature |
| Keyword(2) | Learning |
| Keyword(3) | Images from Fixed Location |
| Keyword(4) | Robot Navigation |
| 1st Author's Name | Toshiaki SHIOYA |
| 1st Author's Affiliation | Gunma University:MITSUBA Corporation() |
| 2nd Author's Name | Naoya OHTA |
| 2nd Author's Affiliation | Gunma University |
| 3rd Author's Name | Yasushi KANAZAWA |
| 3rd Author's Affiliation | Toyohashi University of Technology |
| Date | 2011-12-15 |
| Paper # | PRMU2011-125 |
| Volume (vol) | vol.111 |
| Number (no) | 353 |
| Page | pp.pp.- |
| #Pages | 6 |
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