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一种用于旋转部件三维重建的多相机与多激光校准方法。

A Multi Camera and Multi Laser Calibration Method for 3D Reconstruction of Revolution Parts.

作者信息

Álvarez Hugo, Alonso Marcos, Sánchez Jairo R, Izaguirre Alberto

机构信息

Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Gipuzkoa, Paseo Mikeletegi 57, 20009 San Sebastián, Spain.

Robotics and Automation Group, ECS Department, Mondragon University, Loramendi Kalea 4, 20500 Mondragon, Spain.

出版信息

Sensors (Basel). 2021 Jan 24;21(3):765. doi: 10.3390/s21030765.

DOI:10.3390/s21030765
PMID:33498802
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7866007/
Abstract

This paper describes a method for calibrating multi camera and multi laser 3D triangulation systems, particularly for those using Scheimpflug adapters. Under this configuration, the focus plane of the camera is located at the laser plane, making it difficult to use traditional calibration methods, such as chessboard pattern-based strategies. Our method uses a conical calibration object whose intersections with the laser planes generate stepped line patterns that can be used to calculate the camera-laser homographies. The calibration object has been designed to calibrate scanners for revolving surfaces, but it can be easily extended to linear setups. The experiments carried out show that the proposed system has a precision of 0.1 mm.

摘要

本文描述了一种用于校准多相机和多激光三维三角测量系统的方法,特别是针对那些使用施密特棱镜适配器的系统。在这种配置下,相机的焦平面位于激光平面上,这使得使用传统的校准方法(如基于棋盘格图案的策略)变得困难。我们的方法使用一个锥形校准物体,其与激光平面的相交处会生成阶梯状线条图案,可用于计算相机 - 激光单应性矩阵。该校准物体设计用于校准旋转表面的扫描仪,但也可轻松扩展到线性设置。所进行的实验表明,所提出的系统精度为0.1毫米。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/5d9048ebfcac/sensors-21-00765-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/98a5857f6adf/sensors-21-00765-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/54e9f55a6217/sensors-21-00765-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/45b36f388df1/sensors-21-00765-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/5963a28794d1/sensors-21-00765-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/6e79f4914012/sensors-21-00765-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/c7bf621ebb8a/sensors-21-00765-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/70d496de2f41/sensors-21-00765-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/8f61ad80565d/sensors-21-00765-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/1723b2e7d6b8/sensors-21-00765-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/5d9048ebfcac/sensors-21-00765-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/98a5857f6adf/sensors-21-00765-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/54e9f55a6217/sensors-21-00765-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/45b36f388df1/sensors-21-00765-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/5963a28794d1/sensors-21-00765-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/6e79f4914012/sensors-21-00765-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/c7bf621ebb8a/sensors-21-00765-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/70d496de2f41/sensors-21-00765-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/8f61ad80565d/sensors-21-00765-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/1723b2e7d6b8/sensors-21-00765-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2bac/7866007/5d9048ebfcac/sensors-21-00765-g010.jpg

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本文引用的文献

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A Calibration Method for a Laser Triangulation Scanner Mounted on a Robot Arm for Surface Mapping.一种用于安装在机器人手臂上进行表面测绘的激光三角测量扫描仪的校准方法。
Sensors (Basel). 2019 Apr 14;19(8):1783. doi: 10.3390/s19081783.
2
A Multi-View Stereo Measurement System Based on a Laser Scanner for Fine Workpieces.基于激光扫描仪的用于精细工件的多视角立体测量系统。
Sensors (Basel). 2019 Jan 18;19(2):381. doi: 10.3390/s19020381.
3
An optimization solution of a laser plane in vision measurement with the distance object between global origin and calibration points.
一种基于全局原点与标定靶点之间距离目标的视觉测量中激光平面优化解决方案。
Sci Rep. 2015 Jul 7;5:11928. doi: 10.1038/srep11928.
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Sensors (Basel). 2009;9(9):7374-96. doi: 10.3390/s90907374. Epub 2009 Sep 11.
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Line detection in images through regularized Hough transform.通过正则化霍夫变换进行图像中的直线检测。
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