Paper Abstract and Keywords |
Presentation |
2017-03-13 13:35
A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis Aiga Suzuki, Hayaru Shouno (UEC) NC2016-83 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Modeling of natural textures in an important task for microscopic structure of natural images. Portilla and Simon-
celli proposed a generative texture model, which is based on the mechanism of human visual systems, with a set of texture
features. On the other hand, the texture features, used in Portilla’s model, have redundancy between its components, came from typical natural textures. We propose a contracted texture model which provides a dimensionality reduction for the Portilla’s feature. This model is based on a hierarchical principal components analysis using group structure of the feature. In the experiment, we reveal a fewer effective dimensions for a texture dataset with proposed method. And we also demonstrate how well the textures can be synthesized from the reduced texture representations. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
texture modeling / texture synthesis / dimensionality reduction / probabilistic principal component analysis / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 521, NC2016-83, pp. 115-120, March 2017. |
Paper # |
NC2016-83 |
Date of Issue |
2017-03-06 (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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NC2016-83 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2017-03-13 - 2017-03-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kikai-Shinko-Kaikan Bldg. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
NC |
Conference Code |
2017-03-MBE-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis |
Sub Title (in English) |
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Keyword(1) |
texture modeling |
Keyword(2) |
texture synthesis |
Keyword(3) |
dimensionality reduction |
Keyword(4) |
probabilistic principal component analysis |
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1st Author's Name |
Aiga Suzuki |
1st Author's Affiliation |
University of Electro-Communication (UEC) |
2nd Author's Name |
Hayaru Shouno |
2nd Author's Affiliation |
University of Electro-Communication (UEC) |
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Speaker |
Author-1 |
Date Time |
2017-03-13 13:35:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2016-83 |
Volume (vol) |
vol.116 |
Number (no) |
no.521 |
Page |
pp.115-120 |
#Pages |
6 |
Date of Issue |
2017-03-06 (NC) |
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