Paper Abstract and Keywords |
Presentation |
2012-12-12 14:50
Estimate the gradients of skew symmetric shapes using asymmetry of the shapes on a neural network model Takashi Sugiura, Kazushi Murakoshi (Toyohashi Univ Tech.) NC2012-84 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
It is possible for humans to estimate the gradients of the depth direction of the object in monocular. Some researchers proposed methods to estimate gradients. However, these methods were just based on image processing. In this paper, we propose a method to estimate the gradients close to human visual processing. For verification of method, we estimated the gradients of skew symmetric shapes (symmetric shape tilted in the direction of depth). This model extract the symmetry axis by neural network model. It regards the degree of asymmetry of the outline of shape as features. It calculated the features on square which rotated around the horizontal axis and vertical axis. Then, it learned the features by multilayer perceptron using error back propagation method. Thereafter, it estimated the gradients of rectangle after learning square. As a result, this model could estimate the gradients at $8.75$ degrees average error. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
estimate the gradients / skew symmetric shapes / asymmetry of the outline / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 345, NC2012-84, pp. 45-48, Dec. 2012. |
Paper # |
NC2012-84 |
Date of Issue |
2012-12-05 (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) |
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NC2012-84 |
Conference Information |
Committee |
NC MBE |
Conference Date |
2012-12-12 - 2012-12-12 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Toyohashi University of Technology |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
NC |
Conference Code |
2012-12-NC-MBE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Estimate the gradients of skew symmetric shapes using asymmetry of the shapes on a neural network model |
Sub Title (in English) |
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Keyword(1) |
estimate the gradients |
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skew symmetric shapes |
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asymmetry of the outline |
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1st Author's Name |
Takashi Sugiura |
1st Author's Affiliation |
Toyohashi University of Technology (Toyohashi Univ Tech.) |
2nd Author's Name |
Kazushi Murakoshi |
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Toyohashi University of Technology (Toyohashi Univ Tech.) |
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Speaker |
Author-1 |
Date Time |
2012-12-12 14:50:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2012-84 |
Volume (vol) |
vol.112 |
Number (no) |
no.345 |
Page |
pp.45-48 |
#Pages |
4 |
Date of Issue |
2012-12-05 (NC) |
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