Presentation 2010-03-15
Improving the Performance of SIFT Using Bilateral Filter
Tomoaki YAMAZAKI, Jirou KATTO,
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Abstract(in English) One of the typical methods to extract the features of images is SIFT. SIFT has advantages of robustness in rotation, scale change and illumination change of the images. However, in matching by the original SIFT, there is a problem that the keypoints on edges often become false recognition. This paper therefore presents a method for decreasing this problem by apply Bilateral filter instead of Gaussian filter that is used for smoothing process in SIFT. Bilateral filter does not decide a weight by only using distances between pixels, but also considers brightness differences of pixels, and in the location where a large pixel difference is observed, it keeps edges by reducing the weight. By using this method, the amount of information of image differences increases and improvement of correspondence accuracy is expected. The experiments investigate different characteristics of our proposal to the original SIFT; differences of smoothed images, feature point extraction and SIFT features. In addition, they also verify performance improvement of our proposal in searching corresponding points.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) SIFT / Bilateral Filter / Features / Smoothing
Paper # IE2009-184
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Conference Information
Committee IE
Conference Date 2010/3/8(1days)
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Paper Information
Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improving the Performance of SIFT Using Bilateral Filter
Sub Title (in English)
Keyword(1) SIFT
Keyword(2) Bilateral Filter
Keyword(3) Features
Keyword(4) Smoothing
1st Author's Name Tomoaki YAMAZAKI
1st Author's Affiliation School of Science and Engineering, Waseda University /()
2nd Author's Name Jirou KATTO
2nd Author's Affiliation
Date 2010-03-15
Paper # IE2009-184
Volume (vol) vol.109
Number (no) 469
Page pp.pp.-
#Pages 6
Date of Issue