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Paper Abstract and Keywords
Presentation 2019-03-12 15:45
Semantic Segmentation for 3D Human Models
Satoshi Yamaguchi, Yoshihiro Kanamori, Jun Mitani (University of Tsukuba)
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a technique for semantic segmentation of 3D human models. Existing techniques for general 3D objects solely rely on geometric information, which may suffer from distinguishing, e.g., skin and thin clothes. Our method thus exploits texture information as well. Specifically, our method first generates 2D data via projection from multiple viewpoints and feeds the data to neural networks to obtain likelihoods of semantic labels, which are then back-projected onto the human model. Note that likelihoods for some polygons are not available due to low-resolution 2D data and occlusion. We finally assign semantic labels for the entire mesh via graphcut.
Keyword (in Japanese) (See Japanese page) 
(in English) Semantic segmentation / convolutional neural network / graphcut / / / / /  
Reference Info. ITE Tech. Rep., vol. 43, no. 9, AIT2019-80, pp. 119-122, March 2019.
Paper #  
Date of Issue 2019-03-05 (AIT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee AIT IIEEJ AS CG-ARTS  
Conference Date 2019-03-12 - 2019-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2019 
Paper Information
Registration To AS 
Conference Code 2019-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Semantic Segmentation for 3D Human Models 
Sub Title (in English)  
Keyword(1) Semantic segmentation  
Keyword(2) convolutional neural network  
Keyword(3) graphcut  
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1st Author's Name Satoshi Yamaguchi  
1st Author's Affiliation University of Tsukuba (University of Tsukuba)
2nd Author's Name Yoshihiro Kanamori  
2nd Author's Affiliation University of Tsukuba (University of Tsukuba)
3rd Author's Name Jun Mitani  
3rd Author's Affiliation University of Tsukuba (University of Tsukuba)
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Speaker
Date Time 2019-03-12 15:45:00 
Presentation Time 15 
Registration for AS 
Paper # ITE-AIT2019-80 
Volume (vol) ITE-43 
Number (no) no.9 
Page pp.119-122 
#Pages ITE-4 
Date of Issue ITE-AIT-2019-03-05 


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