Paper Abstract and Keywords |
Presentation |
2021-10-09 09:00
Omni-Directional Image Representation in GAN-based Image Generator Keisuke Okubo, Takao Yamanaka (Sophia Univ.) PRMU2021-17 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The omni-directional image generation from a snapshot image taken by an ordinary camera has been developed using conditional generative adversarial networks (cGAN). This method can be utilized for various applications such as virtual reality and social network services. Although the equirectangular projection is widely used for the omni-directional image representation, the cube-map projection has less distortion at the poles. In this study, these projections were compared to examine the better representation in the cGAN-based omni-directional image generator. For these projections, padding methods before the discriminator in cGAN were developed to preserve the continuities at the edges of the generated omni-directional image. As a result of evaluating the generated images, it was found that the equirectangular projection is more suitable for the omni-directional image generator. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Omni-directional image / Generative adversarial networks / Equirectangular projection / Cube-map projection / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 192, PRMU2021-17, pp. 5-10, Oct. 2021. |
Paper # |
PRMU2021-17 |
Date of Issue |
2021-10-01 (PRMU) |
ISSN |
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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PRMU2021-17 |
Conference Information |
Committee |
PRMU |
Conference Date |
2021-10-08 - 2021-10-09 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Processes and technologies to make research more efficient |
Paper Information |
Registration To |
PRMU |
Conference Code |
2021-10-PRMU |
Language |
English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Omni-Directional Image Representation in GAN-based Image Generator |
Sub Title (in English) |
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Keyword(1) |
Omni-directional image |
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Generative adversarial networks |
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Equirectangular projection |
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Cube-map projection |
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1st Author's Name |
Keisuke Okubo |
1st Author's Affiliation |
Sophia University (Sophia Univ.) |
2nd Author's Name |
Takao Yamanaka |
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Sophia University (Sophia Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-10-09 09:00:00 |
Presentation Time |
15 minutes |
Registration for |
PRMU |
Paper # |
PRMU2021-17 |
Volume (vol) |
vol.121 |
Number (no) |
no.192 |
Page |
pp.5-10 |
#Pages |
6 |
Date of Issue |
2021-10-01 (PRMU) |
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