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 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.
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Keyword(in English) geometric hashing / locally likely arrangement hashing / retrieval accuracy / processing time / picture angle
Paper # PRMU2006-67
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Committee PRMU
Conference Date 2006/9/1(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
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
Date of Issue