Presentation | 1999/3/18 Articulated Object Extraction from Incomplete Image Kazuma Ishikawa, Tsuyoshi Yamamura, Noboru Ohnishi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Object extraction from an image is indispensable in image recognition. Various methods such as template matching and Geometric Hashing have been studied in object extraction. However, problems arise when the image has much noise or occlusion. Moreover such methods are not effective for articulated object extraction. In these cases, it is most effctive to perform extraction by a top-down processing using a model. We created a model which is invariant to aspect, scale, pose change, false edges by noise, and occlusion. We propose an articulated object recognition system by top-down processing using this model. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | incomplete image / top-down processing / model-based matching / articulated object extraction |
Paper # | PRMU98-252 |
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Committee | PRMU |
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Conference Date | 1999/3/18(1days) |
Place (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) | Articulated Object Extraction from Incomplete Image |
Sub Title (in English) | |
Keyword(1) | incomplete image |
Keyword(2) | top-down processing |
Keyword(3) | model-based matching |
Keyword(4) | articulated object extraction |
1st Author's Name | Kazuma Ishikawa |
1st Author's Affiliation | Graduate School of Engineering, Nagoya University() |
2nd Author's Name | Tsuyoshi Yamamura |
2nd Author's Affiliation | Faculty of Information Science and Technology, Aichi Prefectual University |
3rd Author's Name | Noboru Ohnishi |
3rd Author's Affiliation | RIKEN BMC Research Center:Graduate School of Engineering, Nagoya University |
Date | 1999/3/18 |
Paper # | PRMU98-252 |
Volume (vol) | vol.98 |
Number (no) | 677 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |