Paper Abstract and Keywords |
Presentation |
2014-03-17 15:20
Estimate the triaxial gradients of skew symmetric shapes using asymmetry of outline of the shapes on a neural network model Takashi Sugiura, Kazushi Murakoshi (Toyohashi Univ. Tech.) NC2013-98 |
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 estimation methods which 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 calculate asymmetry of the outline of the shapes by neural network model. It regards this value as features. It calculated the features on square which rotated around the horizontal axis, vertical axis, and depth axis. Then, it learned the features by multilayer perceptron using error back propagation method. Thereafter, it estimated the gradients of other shapes after learning square. As a result, this model could estimate the gradients at 8.21 degrees average error on rectangle, at 6.47 degrees on trapezoid, and at 22.20 degrees on teardrop-shapes, respectively. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
estimate the gradients / skew symmetric shapes / asymmetry of the outline / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 500, NC2013-98, pp. 59-62, March 2014. |
Paper # |
NC2013-98 |
Date of Issue |
2014-03-10 (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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NC2013-98 |
Conference Information |
Committee |
NC MBE |
Conference Date |
2014-03-17 - 2014-03-18 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tamagawa University |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
NC |
Conference Code |
2014-03-NC-MBE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Estimate the triaxial gradients of skew symmetric shapes using asymmetry of outline of the shapes on a neural network model |
Sub Title (in English) |
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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 |
2014-03-17 15:20:00 |
Presentation Time |
20 minutes |
Registration for |
NC |
Paper # |
NC2013-98 |
Volume (vol) |
vol.113 |
Number (no) |
no.500 |
Page |
pp.59-62 |
#Pages |
4 |
Date of Issue |
2014-03-10 (NC) |
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