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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IE2007-346 PRMU2007-330 |
Conference Information |
Committee |
PRMU IE |
Conference Date |
2008-03-10 - 2008-03-11 |
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(See Japanese page) |
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JAIST |
Paper Information |
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PRMU |
Conference Code |
2008-03-PRMU-IE |
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Japanese |
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3D reconstruction |
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machine learning |
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Kobe University (Kobe Univ.) |
2nd Author's Name |
Yoshiaki Yasumura |
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Kobe University (Kobe Univ.) |
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Kuniaki Uehara |
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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 |
8 |
Date of Issue |
2008-03-03 (IE, PRMU) |
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