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Paper Abstract and Keywords
Presentation 2019-03-09 13:00
Learning method to recognize both illustration image and Real image using CNN
Tomoya Takenaka, Koichi Watanabe, Seiji Tsuchiya (Doshisha) AI2018-53
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the development of robots has been carried out for making human life more convenient and more comfortable along with the development of artificial intelligence. As one of some movements of robot, there is a movement that the robot autonomously move and grab some objects which human needs. In order to realize such behavior, it is necessary for the robot to recognize the surrounding environment. However, in the surrounding environment there are objects other than real objects such as illustrations and paintings. When recognizing an image showing an illustration image / real object (hereinafter referred to as a real object image) with the current object recognition system, the recognition rate is about 76%. There is a problem that the recognition rate decreases. In this research, we aim to recognize both illustration images and real object images and verify the effectiveness of the learning model learning the illustration processed images by comparing with the conventional object recognition system.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Object recognition / illustration image / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 492, AI2018-53, pp. 1-5, March 2019.
Paper # AI2018-53 
Date of Issue 2019-03-02 (AI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF AI2018-53

Conference Information
Conference Date 2019-03-07 - 2019-03-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To AI 
Conference Code 2019-03-AI-ICS-KBS-DOCMAS-SAI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Learning method to recognize both illustration image and Real image using CNN 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Object recognition  
Keyword(3) illustration image  
1st Author's Name Tomoya Takenaka  
1st Author's Affiliation Doshisha University (Doshisha)
2nd Author's Name Koichi Watanabe  
2nd Author's Affiliation Doshisha University (Doshisha)
3rd Author's Name Seiji Tsuchiya  
3rd Author's Affiliation Doshisha University (Doshisha)
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Date Time 2019-03-09 13:00:00 
Presentation Time 20 
Registration for AI 
Paper # IEICE-AI2018-53 
Volume (vol) IEICE-118 
Number (no) no.492 
Page pp.1-5 
#Pages IEICE-5 
Date of Issue IEICE-AI-2019-03-02 

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