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Paper Abstract and Keywords
Presentation 2018-12-14 10:30
Detection of Partially Occluded Flowers for Robotic Pollination
Ryo Sato, Gustavo Alfonso Garcia Ricardez, Jun Takamatsu, Tsukasa Ogasawara (NAIST) PRMU2018-84
Abstract (in Japanese) (See Japanese page) 
(in English) In robotic pollination, detection of partially occluded flowers from a certain viewpoint is very important for making a robot's strategies, such as changing viewpoint changes and removing leaves to occlude the flowers. Image recognition based on deep learning draws our attention strongly due to its high performance. The deep learning requires a large number of training data. However, it is very difficult to prepare the training data of real images. We propose to use the rendered 3DCG images as the training data to overcome the difficulty. We showed that in the rendering, the texture of the plant and realistic background and illumination are essential to achieving training the image recognition that can recognize real scenes.
Keyword (in Japanese) (See Japanese page) 
(in English) Automation / Agriculture, / Robotic Pollination / Semantic Segmentation / Data Augmentation / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 362, PRMU2018-84, pp. 51-56, Dec. 2018.
Paper # PRMU2018-84 
Date of Issue 2018-12-06 (PRMU) 
ISSN 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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2018-84

Conference Information
Committee PRMU  
Conference Date 2018-12-13 - 2018-12-14 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2018-12-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detection of Partially Occluded Flowers for Robotic Pollination 
Sub Title (in English)  
Keyword(1) Automation  
Keyword(2) Agriculture,  
Keyword(3) Robotic Pollination  
Keyword(4) Semantic Segmentation  
Keyword(5) Data Augmentation  
1st Author's Name Ryo Sato  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Gustavo Alfonso Garcia Ricardez  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Jun Takamatsu  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
4th Author's Name Tsukasa Ogasawara  
4th Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2018-12-14 10:30:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2018-84 
Volume (vol) vol.118 
Number (no) no.362 
Page pp.51-56 
Date of Issue 2018-12-06 (PRMU) 

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