Presentation | 2006-09-08 On Accuracy and Speed of Object Recognition Based on Local Arrangements of Feature Points Masakazu IWAMURA, Tomohiro NAKAI, Koichi KISE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The geometric hashing is a well-known object recognition technique based on the arrangements of feature points. We have proposed "locally likely arrangement hashing (LLAH)" which outperforms the geometric hashing in both retrieval accuracy and processing time. In this report, by comparing both methods, we consider the major factors which bring the improvement. We also consider the relationship between a picture angle and the accuracy of the LLAH because the accuracy of the LLAH depends on the picture angle. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | geometric hashing / locally likely arrangement hashing / retrieval accuracy / processing time / picture angle |
Paper # | PRMU2006-67 |
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Committee | PRMU |
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Conference Date | 2006/9/1(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | On Accuracy and Speed of Object Recognition Based on Local Arrangements of Feature Points |
Sub Title (in English) | |
Keyword(1) | geometric hashing |
Keyword(2) | locally likely arrangement hashing |
Keyword(3) | retrieval accuracy |
Keyword(4) | processing time |
Keyword(5) | picture angle |
1st Author's Name | Masakazu IWAMURA |
1st Author's Affiliation | Graduate School of Engineering, Osaka Prefecture University() |
2nd Author's Name | Tomohiro NAKAI |
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 | 2006-09-08 |
Paper # | PRMU2006-67 |
Volume (vol) | vol.106 |
Number (no) | 229 |
Page | pp.pp.- |
#Pages | 8 |
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