Presentation | 2011-12-15 Challenges on generic object recognition for viable products Susumu KUBOTA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Currently we are working on designing products with generic object recognition capability. Since rapid prototyping is a key to design such products, we have developed a versatile object recognition system with incremental learning capability. The system enables efficient feasibility study and rapid prototyping. This paper introduces the system and its key technologies such as feature descriptor and metric learning. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | generic object recognition / feature descriptor / metric learning |
Paper # | PRMU2011-130 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2011/12/8(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Challenges on generic object recognition for viable products |
Sub Title (in English) | |
Keyword(1) | generic object recognition |
Keyword(2) | feature descriptor |
Keyword(3) | metric learning |
1st Author's Name | Susumu KUBOTA |
1st Author's Affiliation | Corporate Research & Development Center, Toshiba Corporation() |
Date | 2011-12-15 |
Paper # | PRMU2011-130 |
Volume (vol) | vol.111 |
Number (no) | 353 |
Page | pp.pp.- |
#Pages | 4 |
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