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Paper Abstract and Keywords
Presentation 2023-05-19 09:05
A Study of Depth Map Optimization Using NeRF for Multi-View Stereo
Shintaro Ito, Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.) PRMU2023-6
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method to improve the accuracy of depth maps estimated by Multi-View Stereo (MVS) by optimizing them using Neural Radiance Fields (NeRF).MVS can estimate the depth of an object surface accurately, while the accuracy of depth map estimation is significantly low in poor-texture regions and at object boundaries.NeRF can estimate the depth in poor-texture regions and at object boundaries accurately because of obtaining the depth in the process of constructing the ray space, while the accuracy of depth is low in object surfaces.The proposed method combines the advantages of MVS and NeRF to improve the accuracy of depth map estimation.The proposed method also does not need any training by refining depth map with iterative optimization of the depth map based on NeRF.We demonstrate the effectiveness of the proposed method through experiments to evaluate the accuracy of depth map estimation using the Redwood-3dscan dataset.
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Reference Info. IEICE Tech. Rep., vol. 123, no. 30, PRMU2023-6, pp. 27-32, May 2023.
Paper # PRMU2023-6 
Date of Issue 2023-05-11 (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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Conference Information
Committee PRMU IPSJ-CVIM  
Conference Date 2023-05-18 - 2023-05-19 
Place (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2023-05-PRMU-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Depth Map Optimization Using NeRF for Multi-View Stereo 
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1st Author's Name Shintaro Ito  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Kanta Miura  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Koichi Ito  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
4th Author's Name Takafumi Aoki  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2023-05-19 09:05:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2023-6 
Volume (vol) vol.123 
Number (no) no.30 
Page pp.27-32 
#Pages 6 
Date of Issue 2023-05-11 (PRMU) 

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