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Paper Abstract and Keywords
Presentation 2008-03-14 10:50
Neural Network Capable of Amodal Completion
Kunihiko Fukushima (Kansai Univ.) NC2007-189
Abstract (in Japanese) (See Japanese page) 
(in English) When some parts of a pattern are occluded by other objects, the visual system can often estimate the shape of missing portions from visible parts of the contours. This paper proposes a neural network model capable of such function, which is called \textit{amodal completion}. The model is a hierarchical multi-layered network that has bottom-up and top-down signal paths. It contains cells of area V1, which respond selectively to edges of a particular orientation, and cells of area V2, which respond selectively to a particular angle of bend. Using the responses of bend-extracting cells, the model predicts the curvature and location of the occluded contours. Missing portions of the contours are gradually extrapolated and interpolated from the visible contours. Computer simulation demonstrates that the model performs amodal completion to various stimuli in a similar way as observed by psychological experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) vision / amodal completion / contour extrapolation / areas V1 and V2 / bend extracting cell / bottom-up and top-down / neural network model /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 542, NC2007-189, pp. 457-462, March 2008.
Paper # NC2007-189 
Date of Issue 2008-03-05 (NC) 
ISSN Print edition: ISSN 0913-5685    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 NC2007-189

Conference Information
Committee NC MBE  
Conference Date 2008-03-12 - 2008-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa Univ 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2008-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Neural Network Capable of Amodal Completion 
Sub Title (in English)  
Keyword(1) vision  
Keyword(2) amodal completion  
Keyword(3) contour extrapolation  
Keyword(4) areas V1 and V2  
Keyword(5) bend extracting cell  
Keyword(6) bottom-up and top-down  
Keyword(7) neural network model  
Keyword(8)  
1st Author's Name Kunihiko Fukushima  
1st Author's Affiliation Kansai University (Kansai Univ.)
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Speaker Author-1 
Date Time 2008-03-14 10:50:00 
Presentation Time 20 minutes 
Registration for NC 
Paper # NC2007-189 
Volume (vol) vol.107 
Number (no) no.542 
Page pp.457-462 
#Pages 6 
Date of Issue 2008-03-05 (NC) 

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