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| Presentation | 2022-01-24 11:10 Efficient dense interpolation of 4D light fields obtained by sparse viewpoints based on depth estimation Hidemichi Yoshino (Tokyo Univ. of Science/NII), Kazuya Kodama (NII), Takayuki Hamamoto (Tokyo Univ. of Science)  IE2021-27 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In order to easily enjoy immersive 3D visual environment reproducing light fields, inexpensive multi-view imaging systems are required.We have proposed a method for fast interpolation of sparse multi-view images by using parallel processing on GPGPUs, where dense light fields can be obtained without massive camera arrays. Actually, disparity estimation among multi-view images by plane-sweeping and simple epipolar plane image (EPI) synthesis allow us to reconstruct dense light fields in real time based on GPU-based view interpolation that flexibly works for various 3D scenes. In this paper, its implementation on GPGPUs is first described in detail, and then we discuss improvement of the previous method to achieve higher efficiency while avoiding degradation of reconstructed light fields. For EPI interpolation based on estimated disparity of sparse multi-view images, instead of the conventional analysis by simple pixel correspondence, we integrate pixel values on certain regions of the EPI by weighted summation using their consistency of disparity. Regardless of its computational cost, recent Tensor Cores enable us to expect significant speed-up of the novel EPI interpolation unlike exhaustive searches for pixel correspondence. Experimental results show that our novel view interpolation using weighted summation robustly obtains sufficient quality of reconstructed dense light fields. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | light field / interpolation / multi-view / parallel processing / GPGPU / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 346, IE2021-27, pp. 1-4, Jan. 2022. | |
| Paper # | IE2021-27 | |
| Date of Issue | 2022-01-17 (IE) | |
| 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 | IE2021-27 |
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| Conference Information | |
| Committee | IE |
| Conference Date | 2022-01-24 - 2022-01-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | National Institute of Informatics |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image Processing, Image Coding, etc. |
| Paper Information | |
| Registration To | IE |
| Conference Code | 2022-01-IE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Efficient dense interpolation of 4D light fields obtained by sparse viewpoints based on depth estimation |
| Sub Title (in English) | |
| Keyword(1) | light field |
| Keyword(2) | interpolation |
| Keyword(3) | multi-view |
| Keyword(4) | parallel processing |
| Keyword(5) | GPGPU |
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| Keyword(8) | |
| 1st Author's Name | Hidemichi Yoshino |
| 1st Author's Affiliation | Tokyo University of Science/National Institute of Informatics (Tokyo Univ. of Science/NII) |
| 2nd Author's Name | Kazuya Kodama |
| 2nd Author's Affiliation | National Institute of Informatics (NII) |
| 3rd Author's Name | Takayuki Hamamoto |
| 3rd Author's Affiliation | Tokyo University of Science (Tokyo Univ. of Science) |
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| Speaker | Author-1 |
| Date Time | 2022-01-24 11:10:00 |
| Presentation Time | 25 minutes |
| Registration for | IE |
| Paper # | IE2021-27 |
| Volume (vol) | vol.121 |
| Number (no) | no.346 |
| Page | pp.1-4 |
| #Pages | 4 |
| Date of Issue | 2022-01-17 (IE) |
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