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Paper Abstract and Keywords
Presentation 2019-08-29 15:30
[Short Paper] Impression estimation of 3D shape considering the influence of gaze direction DNN using multi-viewpoint image group
Keisuke Sakashita, Kensuke Tobitani (Kwansei Gakuin Univ.), Kouichi Taguchi (Chukyo Univ.), Iori Tani, Sho Hashimoto, Kenji Katahira (Kwansei Gakuin Univ.), Manabu Hashimoto (Chukyo Univ.), Noriko Nagata (Kwansei Gakuin Univ.) MVE2019-11
Abstract (in Japanese) (See Japanese page) 
(in English) To estimate how a three-dimensional shape makes a person feel, a method using the deep neural network with multi-viewpoint images was proposed in previous research. In this study, we focused on the importance of each viewpoint for the purpose of improving the accuracy of previous research, and examined the relationship between the feature of the shape and the importance of the viewpoint using three shape categories. As a result, it was found that the bias of importance differs from viewpoint to viewpoint according to the degree of freedom of each category. Two results supporting the validity of previous studies were obtained. Reflecting these results in the network structure is expected to improve the accuracy of previous research.
Keyword (in Japanese) (See Japanese page) 
(in English) DNN / Impression estimation / Multi-viewpoint image / 3D shape / Kansei / semantic differential scale method / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 190, MVE2019-11, pp. 35-36, Aug. 2019.
Paper # MVE2019-11 
Date of Issue 2019-08-22 (MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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reproduction		 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)
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Conference Information
Committee MVE  
Conference Date 2019-08-29 - 2019-08-30 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2019-08-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Impression estimation of 3D shape considering the influence of gaze direction DNN using multi-viewpoint image group 
Sub Title (in English)  
Keyword(1) DNN  
Keyword(2) Impression estimation  
Keyword(3) Multi-viewpoint image  
Keyword(4) 3D shape  
Keyword(5) Kansei  
Keyword(6) semantic differential scale method  
Keyword(7)  
Keyword(8)  
1st Author's Name Keisuke Sakashita  
1st Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
2nd Author's Name Kensuke Tobitani  
2nd Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
3rd Author's Name Kouichi Taguchi  
3rd Author's Affiliation Chukyo University (Chukyo Univ.)
4th Author's Name Iori Tani  
4th Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
5th Author's Name Sho Hashimoto  
5th Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
6th Author's Name Kenji Katahira  
6th Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
7th Author's Name Manabu Hashimoto  
7th Author's Affiliation Chukyo University (Chukyo Univ.)
8th Author's Name Noriko Nagata  
8th Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
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Speaker Author-1 
Date Time 2019-08-29 15:30:00 
Presentation Time 20 minutes 
Registration for MVE 
Paper # MVE2019-11 
Volume (vol) vol.119 
Number (no) no.190 
Page pp.35-36 
#Pages 2 
Date of Issue 2019-08-22 (MVE) 

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