Paper Abstract and Keywords |
Presentation |
2024-03-13 15:20
Improved PSMNet for accurate disparity estimation for objects at close range Kazuma Nishimura, Hideaki Kimata (Kogakuin Univ.) IMQ2023-32 IE2023-87 MVE2023-61 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Depth estimation using stereo cameras has been used in various fields. Stereo cameras with narrow baselines are now available and are expected to be applied to objects at short distances. However, disparity estimation at close range is not sufficiently accurate with conventional methods because the corresponding disparity between the left and right images is large and it is difficult to match them with conventional image features. In this study, for estimating more accurate disparity of near objects, we propose an improved method of PSMNet, which has been reported to have high performance as a disparity estimation method. PSMNet consists of two main modules: the SPP module for capturing global features and the Stacked hourglass for regularizing cost volumes. In this study, we have extended these two modules to improve the accuracy of disparity estimation. We also have created a dataset for disparity estimation at short distances, which is not included in the existing dataset, and evaluation experiments show that these modifications are effective in improving the performance of disparity estimation at short distances. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Stereo vision / PSMNet / Depth map / Scene Flow Dataset / Near Disparity / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 432, IE2023-87, pp. 108-113, March 2024. |
Paper # |
IE2023-87 |
Date of Issue |
2024-03-06 (IMQ, IE, MVE) |
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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IMQ2023-32 IE2023-87 MVE2023-61 |
Conference Information |
Committee |
IE MVE CQ IMQ |
Conference Date |
2024-03-13 - 2024-03-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Okinawa Sangyo Shien Center |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc(AC) |
Paper Information |
Registration To |
IE |
Conference Code |
2024-03-IE-MVE-CQ-IMQ |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Improved PSMNet for accurate disparity estimation for objects at close range |
Sub Title (in English) |
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Stereo vision |
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PSMNet |
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Depth map |
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Scene Flow Dataset |
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Near Disparity |
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1st Author's Name |
Kazuma Nishimura |
1st Author's Affiliation |
Kogakuin University (Kogakuin Univ.) |
2nd Author's Name |
Hideaki Kimata |
2nd Author's Affiliation |
Kogakuin University (Kogakuin Univ.) |
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Speaker |
Author-1 |
Date Time |
2024-03-13 15:20:00 |
Presentation Time |
20 minutes |
Registration for |
IE |
Paper # |
IMQ2023-32, IE2023-87, MVE2023-61 |
Volume (vol) |
vol.123 |
Number (no) |
no.430(IMQ), no.432(IE), no.433(MVE) |
Page |
pp.108-113 |
#Pages |
6 |
Date of Issue |
2024-03-06 (IMQ, IE, MVE) |
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