Presentation | 2010-05-14 Memory Reduction Method Using Subspaces of Local Features for 3D Object Recognition Takahiro KASHIWAGI, Takumi TOYAMA, Koichi KISE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recognition methods for 3D objects using local features of their 2D images have been proposed. A drawback of these methods is that a huge amount of memory is required to store a lot of local features in a database. In this report, we propose a memory reduction method by using subspaces that are spanned by local features extracted from the same part of the object in different poses. The proposed method is successful to reduce the memory down to about 1/18 of the memory for storing all local features, while it is capable of keeping the recognition rate of 98.9%. Since the subspaces are with the information of poses of objects, the proposed method is capable of estimating the pose of the object in the query image. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Subspace method / Memory reduction / Local feature / 3D object recognition |
Paper # | IE2010-31,PRMU2010-19,MI2010-19 |
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Committee | MI |
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Conference Date | 2010/5/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Medical Imaging (MI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Memory Reduction Method Using Subspaces of Local Features for 3D Object Recognition |
Sub Title (in English) | |
Keyword(1) | Subspace method |
Keyword(2) | Memory reduction |
Keyword(3) | Local feature |
Keyword(4) | 3D object recognition |
1st Author's Name | Takahiro KASHIWAGI |
1st Author's Affiliation | Graduate School of Engineering, Osaka Prefecture University() |
2nd Author's Name | Takumi TOYAMA |
2nd Author's Affiliation | Graduate School of Engineering, Osaka Prefecture University |
3rd Author's Name | Koichi KISE |
3rd Author's Affiliation | Graduate School of Engineering, Osaka Prefecture University |
Date | 2010-05-14 |
Paper # | IE2010-31,PRMU2010-19,MI2010-19 |
Volume (vol) | vol.110 |
Number (no) | 28 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |