Presentation | 2012-03-29 A Study on performance improvement of SIFT detector using laplacian filter Tosiaki INOUE, Mutsumi OHTA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | As rapid spread of various devices with built-in cameras, it is strongly expected to develop advanced image recognition technologies. Robust feature extraction methods such as SIFT and SURF are widely used in many kinds of generic object recognition tasks, and further improvements on these methods are essential to boost recognition performance up effectively. In this paper, we describe an improvement of SIFT on keypoint detection. In original SIFT, DoG filter instead of LoG function is used to detect keypoints from gaussian scale-space images, whereas in our simple method, fixed window laplacian filter is adopted to improve both approximation error and repeatability. Repeatability test results using benchmark datasets show that our proposed method outperforms original SIFT and SURF. Image-verification test results using ALOI datasets also show that the method is effective to improve discriminative performance. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | SIFT / DoG / LoG / laplacian filter / repeatability |
Paper # | PRMU2011-241,HIP2011-69 |
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Conference Information | |
Committee | HIP |
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Conference Date | 2012/3/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on performance improvement of SIFT detector using laplacian filter |
Sub Title (in English) | |
Keyword(1) | SIFT |
Keyword(2) | DoG |
Keyword(3) | LoG |
Keyword(4) | laplacian filter |
Keyword(5) | repeatability |
1st Author's Name | Tosiaki INOUE |
1st Author's Affiliation | Pioneer Corporation() |
2nd Author's Name | Mutsumi OHTA |
2nd Author's Affiliation | Pioneer Corporation |
Date | 2012-03-29 |
Paper # | PRMU2011-241,HIP2011-69 |
Volume (vol) | vol.111 |
Number (no) | 500 |
Page | pp.pp.- |
#Pages | 6 |
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