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Paper Abstract and Keywords
Presentation 2018-03-16 14:15
A Self-Learning Support System for Drawing Actual Human Body Model by Pose Estimation
Hiroto Nishizawa, Masahiro Ura, Kazunori Miyata (JAIST)
Abstract (in Japanese) (See Japanese page) 
(in English) This research proposes a learning support system for drawing on actual human body model. For beginners at drawing picture, it is not easy to grasp the human body ratio of the model and to draw a picture in accordance with the skeletal structure. The proposed system extracts posture information from an actual human body model and drawn picture and generates skeleton line segments. Then, the system superimposes the skeleton line segments on the actual model using a transmission type display. Finally, the system gives an evaluation focused on the skeleton, using the posture data obtained by posture estimation from the drawn picture. In conclusion, we confirmed that the system improves skeletal cognitive ability and drawing skill, and is suitable for more practical drawing.
Keyword (in Japanese) (See Japanese page) 
(in English) Drawing-learning support / Pose estimation / Actual Human Body Model / Evaluation focused on the skeleton / / / /  
Reference Info. ITE Tech. Rep., vol. 42, pp. 87-90, March 2018.
Paper #  
Date of Issue 2018-03-09 (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 2018-03-16 - 2018-03-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AS 
Conference Code 2018-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Self-Learning Support System for Drawing Actual Human Body Model by Pose Estimation 
Sub Title (in English)  
Keyword(1) Drawing-learning support  
Keyword(2) Pose estimation  
Keyword(3) Actual Human Body Model  
Keyword(4) Evaluation focused on the skeleton  
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1st Author's Name Hiroto Nishizawa  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Masahiro Ura  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
3rd Author's Name Kazunori Miyata  
3rd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Speaker Author-1 
Date Time 2018-03-16 14:15:00 
Presentation Time 15 minutes 
Registration for AS 
Paper # AIT2018-66 
Volume (vol) vol.42 
Number (no) no.12 
Page pp.87-90 
#Pages
Date of Issue 2018-03-09 (AIT) 


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