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Paper Abstract and Keywords
Presentation 2025-01-28 16:30
Spatially Heterogeneous Visual Feature Extractions Inspired by Biological Retinas -- An Edge Computing System with Spike Outputs --
Tatsuya Yamada, Hiroyuki Yokota (KIT), Yuki Hayashida (MU), Shinsuke Yasukawa (KIT) NC2024-46
Abstract (in Japanese) (See Japanese page) 
(in English) Biological visual systems efficiently extract behaviorally relevant features from the incoming light, even within the constraints of limited hardware resources. This study presents a novel vision system inspired by the central and peripheral visual processing mechanisms of the biological retina. The proposed system, implemented in digital hardware, extracts features from visual input with distinct spatiotemporal resolutions by employing spatiotemporal filters specialized for the central and peripheral regions of the 2D image plane, along with spike encoding processes. Step response experiments with a checkerboard stimulus demonstrated that the system's central region exhibited sustained responses to fine spatial details, whereas the peripheral region showed transient responses to coarser structures.
Keyword (in Japanese) (See Japanese page) 
(in English) Robot vision / Vertebrate retina / Central-peripheral segregation / Digital hardware implementation / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 363, NC2024-46, pp. 30-35, Jan. 2025.
Paper # NC2024-46 
Date of Issue 2025-01-21 (NC) 
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 NC2024-46

Conference Information
Committee NC NLP  
Conference Date 2025-01-28 - 2025-01-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, NLP, General 
Paper Information
Registration To NC 
Conference Code 2025-01-NC-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Spatially Heterogeneous Visual Feature Extractions Inspired by Biological Retinas 
Sub Title (in English) An Edge Computing System with Spike Outputs 
Keyword(1) Robot vision  
Keyword(2) Vertebrate retina  
Keyword(3) Central-peripheral segregation  
Keyword(4) Digital hardware implementation  
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1st Author's Name Tatsuya Yamada  
1st Author's Affiliation Kyushu Institute of Technology (KIT)
2nd Author's Name Hiroyuki Yokota  
2nd Author's Affiliation Kyushu Institute of Technology (KIT)
3rd Author's Name Yuki Hayashida  
3rd Author's Affiliation Mie University (MU)
4th Author's Name Shinsuke Yasukawa  
4th Author's Affiliation Kyushu Institute of Technology (KIT)
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Speaker Author-1 
Date Time 2025-01-28 16:30:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2024-46 
Volume (vol) vol.124 
Number (no) no.363 
Page pp.30-35 
#Pages 6 
Date of Issue 2025-01-21 (NC) 

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