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Paper Abstract and Keywords
Presentation 2022-05-20 11:00
Accurate Image Matching with 3D Map using its Structure
Yohei Hanaoka, Suwichaya Suwanwimolkul, Satoshi Komorita (KDDI Research)
Abstract (in Japanese) (See Japanese page) 
(in English) To estimate camera pose using 3D mesh data such as a 3D city model, it is necessary to accurately match 3D mesh data, including low-resolution textures and photography taken by the camera for location estimation. In this paper, we focus on the 3D structure of 3D mesh data and propose the method of image matching using it. As a result of the examination, our approach showed an 88.4% reduction in error and gives localization accuracy better than the conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) localization / image matching / 3D map / mesh / / / /  
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Conference Information
Conference Date 2022-05-19 - 2022-05-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Kumamoto University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IEICE-IE 
Conference Code 2022-05-SIP-BioX-IE-MI-IST-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Accurate Image Matching with 3D Map using its Structure 
Sub Title (in English)  
Keyword(1) localization  
Keyword(2) image matching  
Keyword(3) 3D map  
Keyword(4) mesh  
1st Author's Name Yohei Hanaoka  
1st Author's Affiliation KDDI Research, Inc. (KDDI Research)
2nd Author's Name Suwichaya Suwanwimolkul  
2nd Author's Affiliation KDDI Research, Inc. (KDDI Research)
3rd Author's Name Satoshi Komorita  
3rd Author's Affiliation KDDI Research, Inc. (KDDI Research)
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Speaker Author-1 
Date Time 2022-05-20 11:00:00 
Presentation Time 20 minutes 
Registration for IEICE-IE 
Paper #  
Volume (vol) vol.46 
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