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Paper Abstract and Keywords
Presentation 2008-03-11 17:35
*
, Yoshiaki Yasumura, Kuniaki Uehara (Kobe Univ.) IE2007-346 PRMU2007-330
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a new method for 3D reconstruction by a machine learning approach.
Existing methods for 3D reconstruction are restricted by various assumptions.
However, the proposed method does not use any assumptions and
reconstructs normal vectors of an object surface from a single image.
To achieve this,
we acquire a relationship between brightness and normal vectors of objects by machine learning.
First,
k*k brightness and hues are obtained from images
whose 3D shape is known under various environment in a k*k pixel window
and a normal vector is obtained from center of k*k pixel window from normal map.
These relations are obtained using machine learning.
Then normal vectors of an unknown input image are reconstructed by using these relations.
We also propose a method for correcting the reconstructed normal vectors by machine learning
and a method for correcting the abnormal normal vectors detected by using the depth map.
Experiments using human face images show that the proposed method achieved faster and high-precision 3D reconstruction than existing methods.
Keyword (in Japanese) (See Japanese page) 
(in English) 3D reconstruction / machine learning / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 539, PRMU2007-330, pp. 549-556, March 2008.
Paper # PRMU2007-330 
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)
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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) 
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Keyword(1) 3D reconstruction  
Keyword(2) machine learning  
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1st Author's Name *  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Yoshiaki Yasumura  
2nd Author's Affiliation Kobe University (Kobe Univ.)
3rd Author's Name Kuniaki Uehara  
3rd Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2008-03-11 17:35:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # IE2007-346, PRMU2007-330 
Volume (vol) vol.107 
Number (no) no.538(IE), no.539(PRMU) 
Page pp.549-556 
#Pages
Date of Issue 2008-03-03 (IE, PRMU) 


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