Feature-based RGB-D camera pose optimization for real-time 3D reconstruction
Abstract In this paper we present a novel feature-based RGB-D camera pose optimization algorithm for real-time 3D reconstruction systems. During camera pose estimation, current methods in online systems suffer from fast-scanned RGB-D data, or generate inaccurate relative transformations between cons...
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Format: | Article |
Language: | English |
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SpringerOpen
2017-03-01
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Series: | Computational Visual Media |
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Online Access: | http://link.springer.com/article/10.1007/s41095-016-0072-2 |
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author | Chao Wang Xiaohu Guo |
author_facet | Chao Wang Xiaohu Guo |
author_sort | Chao Wang |
collection | DOAJ |
description | Abstract In this paper we present a novel feature-based RGB-D camera pose optimization algorithm for real-time 3D reconstruction systems. During camera pose estimation, current methods in online systems suffer from fast-scanned RGB-D data, or generate inaccurate relative transformations between consecutive frames. Our approach improves current methods by utilizing matched features across all frames and is robust for RGB-D data with large shifts in consecutive frames. We directly estimate camera pose for each frame by efficiently solving a quadratic minimization problem to maximize the consistency of 3D points in global space across frames corresponding to matched feature points. We have implemented our method within two state-of-the-art online 3D reconstruction platforms. Experimental results testify that our method is efficient and reliable in estimating camera poses for RGB-D data with large shifts. |
first_indexed | 2024-12-14T14:09:50Z |
format | Article |
id | doaj.art-57b2fdb591044b02b3e3ec2f5aca3584 |
institution | Directory Open Access Journal |
issn | 2096-0433 2096-0662 |
language | English |
last_indexed | 2024-12-14T14:09:50Z |
publishDate | 2017-03-01 |
publisher | SpringerOpen |
record_format | Article |
series | Computational Visual Media |
spelling | doaj.art-57b2fdb591044b02b3e3ec2f5aca35842022-12-21T22:58:21ZengSpringerOpenComputational Visual Media2096-04332096-06622017-03-01329510610.1007/s41095-016-0072-2Feature-based RGB-D camera pose optimization for real-time 3D reconstructionChao Wang0Xiaohu Guo1University of Texas at DallasUniversity of Texas at DallasAbstract In this paper we present a novel feature-based RGB-D camera pose optimization algorithm for real-time 3D reconstruction systems. During camera pose estimation, current methods in online systems suffer from fast-scanned RGB-D data, or generate inaccurate relative transformations between consecutive frames. Our approach improves current methods by utilizing matched features across all frames and is robust for RGB-D data with large shifts in consecutive frames. We directly estimate camera pose for each frame by efficiently solving a quadratic minimization problem to maximize the consistency of 3D points in global space across frames corresponding to matched feature points. We have implemented our method within two state-of-the-art online 3D reconstruction platforms. Experimental results testify that our method is efficient and reliable in estimating camera poses for RGB-D data with large shifts.http://link.springer.com/article/10.1007/s41095-016-0072-2camera pose optimizationfeature matchingreal-time 3D reconstructionfeature correspondence |
spellingShingle | Chao Wang Xiaohu Guo Feature-based RGB-D camera pose optimization for real-time 3D reconstruction Computational Visual Media camera pose optimization feature matching real-time 3D reconstruction feature correspondence |
title | Feature-based RGB-D camera pose optimization for real-time 3D reconstruction |
title_full | Feature-based RGB-D camera pose optimization for real-time 3D reconstruction |
title_fullStr | Feature-based RGB-D camera pose optimization for real-time 3D reconstruction |
title_full_unstemmed | Feature-based RGB-D camera pose optimization for real-time 3D reconstruction |
title_short | Feature-based RGB-D camera pose optimization for real-time 3D reconstruction |
title_sort | feature based rgb d camera pose optimization for real time 3d reconstruction |
topic | camera pose optimization feature matching real-time 3D reconstruction feature correspondence |
url | http://link.springer.com/article/10.1007/s41095-016-0072-2 |
work_keys_str_mv | AT chaowang featurebasedrgbdcameraposeoptimizationforrealtime3dreconstruction AT xiaohuguo featurebasedrgbdcameraposeoptimizationforrealtime3dreconstruction |