| Paper Abstract and Keywords |
| Presentation |
2020-12-10 13:30
Study on Depth Estimation from 4D Light Field Videos Takahiro Kinoshita, Satoshi Ono (Kagoshima Univ.) AI2020-1 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Depth (disparity) estimation from 4D Light Field (LF) images has been a research topic for the last couple of years. Most studies have focused on depth estimation from static 4D LF images while not considering temporal information, i.e., LF videos. This paper proposes an end-to-end neural network architecture for depth estimation from 4D LF videos. This study also constructs a medium-scale 4D LF videos dataset that can be used for training deep learning-based methods. Experimental results have shown that temporal information contributes to the improvement of depth estimation accuracy in noisy regions. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
light field video / light field dataset / depth estimation / deep neural network / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 120, no. 281, AI2020-1, pp. 1-6, Dec. 2020. |
| Paper # |
AI2020-1 |
| Date of Issue |
2020-12-03 (AI) |
| 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) |
| Download PDF |
AI2020-1 |
| Conference Information |
| Committee |
AI |
| Conference Date |
2020-12-10 - 2020-12-10 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online and HAMAMATSU ACT CITY |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Foundations and application technologies for AI systems on the new normal |
| Paper Information |
| Registration To |
AI |
| Conference Code |
2020-12-AI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Study on Depth Estimation from 4D Light Field Videos |
| Sub Title (in English) |
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| Keyword(1) |
light field video |
| Keyword(2) |
light field dataset |
| Keyword(3) |
depth estimation |
| Keyword(4) |
deep neural network |
| Keyword(5) |
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| 1st Author's Name |
Takahiro Kinoshita |
| 1st Author's Affiliation |
Kagoshima University (Kagoshima Univ.) |
| 2nd Author's Name |
Satoshi Ono |
| 2nd Author's Affiliation |
Kagoshima University (Kagoshima Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2020-12-10 13:30:00 |
| Presentation Time |
25 minutes |
| Registration for |
AI |
| Paper # |
AI2020-1 |
| Volume (vol) |
vol.120 |
| Number (no) |
no.281 |
| Page |
pp.1-6 |
| #Pages |
6 |
| Date of Issue |
2020-12-03 (AI) |