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Paper Abstract and Keywords
Presentation 2013-02-18 13:20
Localization Using Mobile Phone and Image Matching -- Improving Precision by Combination of Two Types of Image Matching Method --
Hiroshi Ito, Atsushi Koike, Hitomi Murakami (Seikei Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a new localization technique using mobile phone. The suggested technique performs matching of still image and the motion image database that we photographed with a mobile phone camera and it is located from those correlation coefficients. In our experiments, we have found that there are advantages to each matching method by correlation coefficient and SURF. In this paper, we succeeded to improve the precision of localization by combination two matching method.
Keyword (in Japanese) (See Japanese page) 
(in English) Localization / Mobile Phone / Image Matching / Correlation Coefficient / SURF / / /  
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Conference Information
Committee IEICE-ITS IEICE-IE AIT HI ME  
Conference Date 2013-02-18 - 2013-02-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ITS Image Processsing, Image Medium, Vision, etc. 
Paper Information
Registration To IEICE-IE 
Conference Code 2013-02-ITS-IE-AIT-HI-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Localization Using Mobile Phone and Image Matching 
Sub Title (in English) Improving Precision by Combination of Two Types of Image Matching Method 
Keyword(1) Localization  
Keyword(2) Mobile Phone  
Keyword(3) Image Matching  
Keyword(4) Correlation Coefficient  
Keyword(5) SURF  
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1st Author's Name Hiroshi Ito  
1st Author's Affiliation Seikei University (Seikei Univ.)
2nd Author's Name Atsushi Koike  
2nd Author's Affiliation Seikei University (Seikei Univ.)
3rd Author's Name Hitomi Murakami  
3rd Author's Affiliation Seikei University (Seikei Univ.)
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Speaker Author-1 
Date Time 2013-02-18 13:20:00 
Presentation Time 20 minutes 
Registration for IEICE-IE 
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Volume (vol) vol.37 
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