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Paper Abstract and Keywords
Presentation 2024-03-05 14:30
Automatic hair parts segmentation for 2D animation production
Yuichi Sakano, Hironobu Abe (Tokyo Denki Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In the production of 2D animation based on illustrations, it is necessary to divide the target illustration into parts by category, such as hair, face, and body. Usually, the partitioning process is performed using graphics software, but when creating complex animations, the number of parts becomes large and time-consuming. In this paper, we propose a method to improve the segmentation accuracy of hair by automatically segmenting it into parts using U-net, which is one of the semantic segmentation methods, and by combining it with post-processing based on image processing.
Keyword (in Japanese) (See Japanese page) 
(in English) Digital illustration / U-Net / Virtual YouTuber / / / / /  
Reference Info. ITE Tech. Rep., vol. 48, no. 8, AIT2024-125, pp. 317-318, March 2024.
Paper # AIT2024-125 
Date of Issue 2024-02-27 (AIT) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2024-03-05 - 2024-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2024 
Paper Information
Registration To AIT 
Conference Code 2024-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic hair parts segmentation for 2D animation production 
Sub Title (in English)  
Keyword(1) Digital illustration  
Keyword(2) U-Net  
Keyword(3) Virtual YouTuber  
1st Author's Name Yuichi Sakano  
1st Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
2nd Author's Name Hironobu Abe  
2nd Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
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Speaker Author-1 
Date Time 2024-03-05 14:30:00 
Presentation Time 80 minutes 
Registration for AIT 
Paper # AIT2024-125 
Volume (vol) vol.48 
Number (no) no.8 
Page pp.317-318 
Date of Issue 2024-02-27 (AIT) 

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