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Paper Abstract and Keywords
Presentation 2008-03-10 09:30
Extraction of Object Regions Using Shape Map and Local Features
Koji Imaeda (Nagoya Univ.), Miyako Baba, Nobuyuki Shiraki, Akihiro Watanabe (Toyota Central R&D Labs.), Yasushi Hirano, Shoji Kajita, Kenji Mase (Nagoya Univ.) IE2007-265 PRMU2007-249
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, a novel method for extraction of a precise object region from a given rough initial region is proposed. The existing method for object region extraction using a kernel density estimator has problems, e.g. influence by the background edge in the initial region. The method is considered effective only when the image texture is simple or the initial region is considerably accurate. The proposed method, even if the initial region shape is rough and the image texture is complex, can correctly extract the object area by introducing a brightness histogram as a probability density function and an object shape distribution map as a priori probability for the preprocess of the kernel density estimator. It was confirmed that the accuracy and computation speed in general cases are improved in comparison to those of existing method.
Keyword (in Japanese) (See Japanese page) 
(in English) object extraction / histogtam / kernel density estimator / joint probability density function / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 539, PRMU2007-249, pp. 23-28, March 2008.
Paper # PRMU2007-249 
Date of Issue 2008-03-03 (IE, PRMU) 
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 IE2007-265 PRMU2007-249

Conference Information
Committee PRMU IE  
Conference Date 2008-03-10 - 2008-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) JAIST 
Paper Information
Registration To PRMU 
Conference Code 2008-03-PRMU-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extraction of Object Regions Using Shape Map and Local Features 
Sub Title (in English)  
Keyword(1) object extraction  
Keyword(2) histogtam  
Keyword(3) kernel density estimator  
Keyword(4) joint probability density function  
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1st Author's Name Koji Imaeda  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Miyako Baba  
2nd Author's Affiliation Toyota Central R&D Labs., Inc. (Toyota Central R&D Labs.)
3rd Author's Name Nobuyuki Shiraki  
3rd Author's Affiliation Toyota Central R&D Labs., Inc. (Toyota Central R&D Labs.)
4th Author's Name Akihiro Watanabe  
4th Author's Affiliation Toyota Central R&D Labs., Inc. (Toyota Central R&D Labs.)
5th Author's Name Yasushi Hirano  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Shoji Kajita  
6th Author's Affiliation Nagoya University (Nagoya Univ.)
7th Author's Name Kenji Mase  
7th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2008-03-10 09:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # IE2007-265, PRMU2007-249 
Volume (vol) vol.107 
Number (no) no.538(IE), no.539(PRMU) 
Page pp.23-28 
#Pages 6 
Date of Issue 2008-03-03 (IE, PRMU) 

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