An Accurate Linear Method for 3D Line Reconstruction for Binocular or Multiple View Stereo Vision

For the problem of 3D line reconstruction in binocular or multiple view stereo vision, when there are no corresponding points on the line, the method called Direction-then-Point (DtP) can be used, and if there are two pairs of corresponding points on the line, the method called Two Points 3D coordin...

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Main Authors: Lijun Zhong, Junyou Qin, Xia Yang, Xiaohu Zhang, Yang Shang, Hongliang Zhang, Qifeng Yu
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/2/658
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author Lijun Zhong
Junyou Qin
Xia Yang
Xiaohu Zhang
Yang Shang
Hongliang Zhang
Qifeng Yu
author_facet Lijun Zhong
Junyou Qin
Xia Yang
Xiaohu Zhang
Yang Shang
Hongliang Zhang
Qifeng Yu
author_sort Lijun Zhong
collection DOAJ
description For the problem of 3D line reconstruction in binocular or multiple view stereo vision, when there are no corresponding points on the line, the method called Direction-then-Point (DtP) can be used, and if there are two pairs of corresponding points on the line, the method called Two Points 3D coordinates (TPS) can be used. However, when there is only one pair of corresponding points on the line, can we get the better accuracy than DtP for 3D line reconstruction? In this paper, a linear and more accurate method called Point-then-Direction (PtD) is proposed. First, we used the intersection method to obtain the 3D point’s coordinate from its corresponding image points. Then, we used this point as a position on the line to calculate the direction of the line by minimizing the image angle residual. PtD is also suitable for multiple camera systems. The simulation results demonstrate that PtD increases the accuracy of both the direction and the position of the 3D line compared to DtP. At the same time, PtD achieves a better result in direction of the 3D line than TPS, but has a lower accuracy in the position of 3D lines than TPS.
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spelling doaj.art-b9d4ad1831dc42468c1026f765a85b0a2023-12-03T13:46:59ZengMDPI AGSensors1424-82202021-01-0121265810.3390/s21020658An Accurate Linear Method for 3D Line Reconstruction for Binocular or Multiple View Stereo VisionLijun Zhong0Junyou Qin1Xia Yang2Xiaohu Zhang3Yang Shang4Hongliang Zhang5Qifeng Yu6School of Aeronautics and Astronautics, Sun Yat-Sen University, Guangzhou 510275, ChinaSchool of Aeronautics and Astronautics, Sun Yat-Sen University, Guangzhou 510275, ChinaSchool of Aeronautics and Astronautics, Sun Yat-Sen University, Guangzhou 510275, ChinaSchool of Aeronautics and Astronautics, Sun Yat-Sen University, Guangzhou 510275, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410003, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410003, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410003, ChinaFor the problem of 3D line reconstruction in binocular or multiple view stereo vision, when there are no corresponding points on the line, the method called Direction-then-Point (DtP) can be used, and if there are two pairs of corresponding points on the line, the method called Two Points 3D coordinates (TPS) can be used. However, when there is only one pair of corresponding points on the line, can we get the better accuracy than DtP for 3D line reconstruction? In this paper, a linear and more accurate method called Point-then-Direction (PtD) is proposed. First, we used the intersection method to obtain the 3D point’s coordinate from its corresponding image points. Then, we used this point as a position on the line to calculate the direction of the line by minimizing the image angle residual. PtD is also suitable for multiple camera systems. The simulation results demonstrate that PtD increases the accuracy of both the direction and the position of the 3D line compared to DtP. At the same time, PtD achieves a better result in direction of the 3D line than TPS, but has a lower accuracy in the position of 3D lines than TPS.https://www.mdpi.com/1424-8220/21/2/658plane intersection3D line reconstructionPoint-then-Directioncorresponding image points intersectionlinear solution
spellingShingle Lijun Zhong
Junyou Qin
Xia Yang
Xiaohu Zhang
Yang Shang
Hongliang Zhang
Qifeng Yu
An Accurate Linear Method for 3D Line Reconstruction for Binocular or Multiple View Stereo Vision
Sensors
plane intersection
3D line reconstruction
Point-then-Direction
corresponding image points intersection
linear solution
title An Accurate Linear Method for 3D Line Reconstruction for Binocular or Multiple View Stereo Vision
title_full An Accurate Linear Method for 3D Line Reconstruction for Binocular or Multiple View Stereo Vision
title_fullStr An Accurate Linear Method for 3D Line Reconstruction for Binocular or Multiple View Stereo Vision
title_full_unstemmed An Accurate Linear Method for 3D Line Reconstruction for Binocular or Multiple View Stereo Vision
title_short An Accurate Linear Method for 3D Line Reconstruction for Binocular or Multiple View Stereo Vision
title_sort accurate linear method for 3d line reconstruction for binocular or multiple view stereo vision
topic plane intersection
3D line reconstruction
Point-then-Direction
corresponding image points intersection
linear solution
url https://www.mdpi.com/1424-8220/21/2/658
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