Paper Abstract and Keywords |
Presentation |
2013-02-21 11:00
RGB-D Based 3D-Object Recognition by LLC Using Depth Spatial Pyramid Takahiro Hori, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) PRMU2012-137 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently introduced high-accuracy RGB-D cameras are capable of providing high quality three dimension information (color and depth information) easily. The overall shape of the object can be understood by acquiring depth information. However, conventional methods adopted this camera uses depth information only to extract the local feature. To deal with this problem, in the proposed method, the overall object shape is expressed by the Depth Spatial Pyramid based on depth information. In more detail, multiple features within each sub-region of the Depth Spatial Pyramid are pooled. As a result, the feature representation including the depth topological information is constructed. We use HONV (Histogram of Oriented Normal Vectors) designed to capture local geometric characteristics as 3D local features and apply LLC (Locality-constrained Linear Coding) utilized the locality constraints to project each descriptor into its local-coordinate system. As a result of image dataset, the proposed method has improved the recognition rate compared with conventional methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
3D-Object Recognition / HONV / LLC / spatial pyramid / depth spatial pyramid / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 441, PRMU2012-137, pp. 43-48, Feb. 2013. |
Paper # |
PRMU2012-137 |
Date of Issue |
2013-02-14 (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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PRMU2012-137 |
Conference Information |
Committee |
PRMU |
Conference Date |
2013-02-21 - 2013-02-22 |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2013-02-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
RGB-D Based 3D-Object Recognition by LLC Using Depth Spatial Pyramid |
Sub Title (in English) |
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3D-Object Recognition |
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HONV |
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LLC |
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spatial pyramid |
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depth spatial pyramid |
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1st Author's Name |
Takahiro Hori |
1st Author's Affiliation |
Kobe University (Kobe Univ.) |
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Tetsuya Takiguchi |
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Kobe University (Kobe Univ.) |
3rd Author's Name |
Yasuo Ariki |
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Kobe University (Kobe Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-02-21 11:00:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2012-137 |
Volume (vol) |
vol.112 |
Number (no) |
no.441 |
Page |
pp.43-48 |
#Pages |
6 |
Date of Issue |
2013-02-14 (PRMU) |
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