Spatial calibration of large volume photogrammetry based metrology systems

被引:37
|
作者
Summan, R. [1 ]
Pierce, S. G. [1 ]
Macleod, C. N. [1 ]
Dobie, G. [1 ]
Gears, T. [2 ]
Lester, W. [3 ]
Pritchett, P. [3 ]
Smyth, P. [3 ]
机构
[1] Univ Strathclyde, Ctr Ultrason Engn, Glasgow G1 1XW, Lanark, Scotland
[2] Hexagon Metrol Ltd, Telford TF7 4PL, Shrops, England
[3] Vicon Mot Syst Ltd Oxford, Oxford OX2 0JB, England
基金
英国工程与自然科学研究理事会;
关键词
Photogrammetry; Calibration; Laser tracker; Accuracy study; MOTION; PERFORMANCE; ACCURACY;
D O I
10.1016/j.measurement.2015.02.054
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Photogrammetry systems are used extensively as volumetric measurement tools in a diverse range of applications including gait analysis, robotics and computer generated animation. For precision applications the spatial inaccuracies of these systems are of interest. In this paper, an experimental characterisation of a six camera Vicon T160 photogrammetry system using a high accuracy laser tracker is presented. The study was motivated by empirical observations of the accuracy of the photogrammetry system varying as a function of location within a measurement volume of approximately 100 m(3). Error quantification was implemented through simultaneously tracking a target scanned through a sub-volume (27 m(3)) using both systems. The position of the target was measured at each point of a grid in four planes at different heights. In addition, the effect of the use of passive and active calibration artefacts upon system accuracy was investigated. A convex surface was obtained when considering error as a function of position for a fixed height setting confirming the empirical observations when using either calibration artefact. Average errors of 1.48 mm and 3.95 mm were obtained for the active and passive calibration artefacts respectively. However, it was found that through estimating and applying an unknown scale factor relating measurements, the overall accuracy could be improved with average errors reducing to 0.51 mm and 0.59 mm for the active and passive datasets respectively. The precision in the measurements was found to be less than 10 mu m for each axis. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:189 / 200
页数:12
相关论文
共 50 条
  • [31] Integration of TLS, Close Range Photogrammetry and Spatial Information Systems
    Mancera-Taboada, J.
    Rodriguez-Gonzalvez, P.
    Gonzalez-Aguilera, D.
    Munoz-Nieto, A.
    Menendez, Mario
    Armesto, Julia
    2010 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE I2MTC 2010, PROCEEDINGS, 2010,
  • [32] Eyeball camera based calibration and performance verification for spatial computing systems
    Jia, Zhiheng
    Chung, Hyunsun
    Daiker, Jeffrey
    Sedighi, Sina
    Morley, Nicholas
    Dominguez, Daniel
    Grata, Jeremy
    Welch, Hudson
    OPTICAL ARCHITECTURES FOR DISPLAYS AND SENSING IN AUGMENTED, VIRTUAL, AND MIXED REALITY (AR, VR, MR), 2020, 11310
  • [33] A Calibration Algorithm for Multi-camera Visual Surveillance Systems Based on Single-View Metrology
    Neves, J. C.
    Moreno, J. C.
    Barra, S.
    Proenca, H.
    PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2015), 2015, 9117 : 552 - 559
  • [34] Cooperative diagnostics for distributed large-scale dimensional metrology systems based on triangulation
    Franceschini, Fiorenzo
    Maisano, Domenico
    Mastrogiacomo, Luca
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2014, 228 (04) : 479 - 492
  • [35] UNCERTAINTY MODEL FOR SYSTEMS BASED ON WIRELESS SENSOR NETWORKS FOR LARGE SCALE DIMENSIONAL METROLOGY
    Franceschini, Fiorenzo
    Galetto, Maurizio
    Maisano, Domenico
    Mastrogiacomo, Luca
    PROCEEDINGS OF THE ASME 11TH BIENNIAL CONFERENCE ON ENGINEERING SYSTEMS DESIGN AND ANALYSIS, VOL 4, 2012, : 429 - 435
  • [36] A Holistic Self-Calibration Algorithm for xy Precision Metrology Systems
    Hu, Chuxiong
    Zhu, Yu
    Hu, Jinchun
    Zhang, Ming
    Xu, Dengfeng
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2012, 61 (09) : 2492 - 2500
  • [37] Configuration Analysis of the ERS Points in Large-Volume Metrology System
    Jin, Zhangjun
    Yu, Cijun
    Li, Jiangxiong
    Ke, Yinglin
    SENSORS, 2015, 15 (09) : 24397 - 24408
  • [38] Registration error analysis and evaluation in large-volume metrology system
    Jin, Zhang-Jun
    Li, Jiang-Xiong
    Yu, Ci-Jun
    Ke, Ying-Lin
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2015, 49 (04): : 655 - 661
  • [39] ON SCALE DEFINITION WITHIN CALIBRATION OF MULTI-CAMERA SYSTEMS IN MULTIMEDIA PHOTOGRAMMETRY
    Kahmen, O.
    Rofallski, R.
    Conen, N.
    Luhmann, T.
    UNDERWATER 3D RECORDING AND MODELLING: A TOOL FOR MODERN APPLICATIONS AND CH RECORDING, 2019, 42-2 (W10): : 93 - 100
  • [40] Ray-based calibration for the micro optical metrology system
    Yin, Yongkai
    Wang, Meng
    Li, Ameng
    Liu, Xiaoli
    Peng, Xiang
    OPTICAL MICRO- AND NANOMETROLOGY V, 2014, 9132