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Paper Abstract and Keywords
Presentation 2021-03-02 15:30
Visual place recognition from eye reflection
Yuki Ohshima, Kyosuke Maeda, Yusuke Edamoto, Atsushi Nakazawa (Kyoto Univ.) BioX2020-48 CNR2020-21
Abstract (in Japanese) (See Japanese page) 
(in English) The cornea in the human eye reflects incoming environmental light, which means we can obtain information about the surrounding environment from the corneal reflection in facial images. In recent years, as the quality of consumer cameras increases, this has caused privacy concerns in terms of identifying the people around the subject or where the photo is taken. This paper investigates the security risk of eye corneal reflection images: specifically, visual place recognition from eye reflection images. First, we constructed two datasets containing pairs of scene and corneal reflection images. We developed several visual place recognition algorithms, including CNN-based image descriptors featuring a naive Siamese network and AFD-Net combined with entire image feature representations including VLAD and NetVLAD, and compared the results. We found that AFD-Net+VLAD performed the best and was able to accurately determine the scene in 73.08% of the top-five candidate scenes. These results demonstrate the potential to estimate the location at which a facial picture was taken.
Keyword (in Japanese) (See Japanese page) 
(in English) Corneal Reflection / Computer Vision / Deep Learning / Image Recognition / Biometrics / Privacy / Security /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 393, BioX2020-48, pp. 44-49, March 2021.
Paper # BioX2020-48 
Date of Issue 2021-02-23 (BioX, CNR) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
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)
Download PDF BioX2020-48 CNR2020-21

Conference Information
Committee BioX CNR  
Conference Date 2021-03-02 - 2021-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To BioX 
Conference Code 2021-03-BioX-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Visual place recognition from eye reflection 
Sub Title (in English)  
Keyword(1) Corneal Reflection  
Keyword(2) Computer Vision  
Keyword(3) Deep Learning  
Keyword(4) Image Recognition  
Keyword(5) Biometrics  
Keyword(6) Privacy  
Keyword(7) Security  
Keyword(8)  
1st Author's Name Yuki Ohshima  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Kyosuke Maeda  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Yusuke Edamoto  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Atsushi Nakazawa  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2021-03-02 15:30:00 
Presentation Time 20 minutes 
Registration for BioX 
Paper # BioX2020-48, CNR2020-21 
Volume (vol) vol.120 
Number (no) no.393(BioX), no.394(CNR) 
Page pp.44-49 
#Pages 6 
Date of Issue 2021-02-23 (BioX, CNR) 

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