Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article

Multicamera rig calibration by double‐sided thick checkerboard

Published: 22 June 2017 Publication History

Abstract

A multi‐camera rig calibration algorithm based on a double sided planar target is proposed. Due to their inherently simple realisation, low cost and accuracy, planar calibration targets came out as one of the most largely adopted calibration tools both for intrinsic and extrinsic camera parameters. However, concerning the estimation of extrinsic parameters, one of the major drawbacks of these targets is their requirement for distinct target visibility from both cameras. This prevents many configurations from being adopted where, e.g. two cameras are facing each other. An inexpensive solution could be based on printing/pasting a planar pattern on both target sides, however, the relative misalignment between the patterns on the two sides and the target thickness could be unknown. The authors propose a solution where double‐sided target displacement error is estimated together with the extrinsic parameters allowing the reuse of all the available planar calibration tools in less constrained configurations. To assess their approach the authors tested the system in two scenarios, one using two professional 4K cameras and one using two smartphones.

6 References

[1]
Tsai, R.Y.: ‘A versatile camera calibration technique for high‐accuracy 3D machine vision metrology using off‐the‐shelf TV cameras and lenses’, IEEE J. Robot. Autom., 1987, 3, (4), pp. 323–344 (22 pages)
[2]
Zhang, Z.: ‘A flexible new technique for camera calibration’, IEEE Trans. Pattern Anal. Mach. Intell., 2000, 22, (11), pp. 1330–1334
[3]
Sturm, P.F., Maybank, S.J.: ‘On plane‐based camera calibration: a general algorithm, singularities, applications’. Proc. 1999 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (Cat. No PR00149), 1999, vol. 1, pp. 432–437
[4]
‘MATLAB Computer Vision System Toolbox’, Available at http://www.mathworks.com/products/computer‐vision/
[5]
‘3DFlow – 3DF Lapyx’. Available at http://www.3dflow.net/technology/
[6]
‘OpenCV’. Available at http://opencv.org/
[7]
Sun, W., Cooperstock, J.R.: ‘An empirical evaluation of factors influencing camera calibration accuracy using three publicly available techniques’, Mach. Vis. Appl., 2006, 17, (1), pp. 51–67
[8]
Barreto, J.P., Daniilidis, K.: ‘Wide area multiple camera calibration and estimation of radial distortion’. Proc. of the 5th Workshop on Omnidirectional Vision, Camera Networks and Non‐Classical Cameras, Prague, Czech Republic, 2004, pp. 37–44
[9]
Meijer, P.B.L., Leistner, C., Martiniére, A.: ‘Multiple view camera calibration for localization’. 2007 1st ACM/IEEE Int. Conf. on Distributed Smart Cameras, ICDSC, 2007, pp. 228–234
[10]
Shen, E., Carr, G.P.K., Thomas, P., et al: ‘Non‐planar target for multi‐camera network calibration’. 2009 IEEE Sensors, 2009, pp. 1410–1414
[11]
Pedersini, F., Sarti, A., Tubaro, S.: ‘Multi‐camera systems: calibration and applications’, IEEE Signal Process. Mag., special issue on Stereo and 3D Imaging, 1999, 16, (3), pp. 55–65
[12]
Baker, P.T., Park, C.: ‘Calibration of a multicamera network 2 camera geometry and calibration’, 2003
[13]
Xiong, Y., Quek, F.: ‘Meeting room configuration and multiple camera calibration in meeting analysis’. Proc. of the 7th Int. Conf. on Multimodal Interfaces – ICMI ’05, 2005, October, p. 37
[14]
Milani, S.: ‘Three‐dimensional reconstruction from heterogeneous video devices with camera‐in‐view information’. Image Processing (ICIP), 2015 IEEE Int. Conf. on, September 2015, pp. 2050–2054
[15]
Sinha, S.N., Pollefeys, M.: ‘Camera network calibration and synchronization fromsilhouettes in archived video’, Int. J. Comput. Vis., 2010, 87, (3), pp. 266–283
[16]
Kellner, F., Bolte, B., Bruder, G., et al: ‘Geometric calibration of headmounted displays and its effects on distance estimation’, IEEE Trans. Vis. Comput. Graphics, 2012, 18, (4), pp. 589–596
[17]
Strobl, K.H., Hirzinger, G.: ‘More accurate pinhole camera calibration with imperfect planar target’. Proc. of the IEEE Int. Conf. on Computer Vision, 2011, pp. 1068–1075
[18]
Soleimani, V., Mirmehdi, M., Damen, D., et al: ‘3D data acquisition and registration using two opposing kinects’. 2016 Fourth Int. Conf. on 3D Vision (3DV), 2016, pp. 128–137
[19]
Myint, H., Wong, P., Dooley, L., et al: ‘Tracking a table tennis ball for umpiring purposes using a multi‐agent system’. The 20th Int. Conf. on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, USA, 2016
[20]
Yang, L., Zhang, L., Dong, H., et al: ‘Evaluating and improving the depth accuracy of Kinect for Windows v2’, IEEE Sens. J., 2015, 15, (8), pp. 4275–4285
[21]
Hartley, R.I., Zisserman, A.: ‘Multiple view geometry in computer vision’ (Cambridge University Press, 2004, 2nd edn.), ISBN: 0521540518
[22]
Sorkine‐Hornung, O., Rabinovich, M.: ‘Least‐squares rigid motion using svd’. Tech. Rep., ETH Zurich, 2016, Available at https://igl.ethz.ch/projects/ARAP/svd_rot.pdf
[23]
Medina, A., Cercs, L., Stefanescu, R.M., et al: ‘Validation results of satellite mock‐up capturing experiment using nets’, Acta Astronaut., 2017, (134), pp. 314–332, Available at http://www.sciencedirect.com/science/article/pii/S0094576516300406
[24]
Triggs, B., McLauchlan, P.F., Hartley, R.I., et al: ‘Bundle adjustment a modern synthesis’, Vis. Algorithms Theory Pract. S, 2000, 34099, pp. 298–372
[25]
Kytö, M., Nuutinen, M., Oittinen, P.: ‘Method for measuring stereo camera depth accuracy based on stereoscopic vision’. Proc. of SPIE 7864 – The Int. Society for Optical Engineering, 2011, pp. 1–9

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image IET Computer Vision
IET Computer Vision  Volume 11, Issue 6
September 2017
127 pages
EISSN:1751-9640
DOI:10.1049/cvi2.v11.6
Issue’s Table of Contents

Publisher

John Wiley & Sons, Inc.

United States

Publication History

Published: 22 June 2017

Author Tags

  1. cameras
  2. calibration
  3. parameter estimation
  4. thickness measurement
  5. displacement measurement

Author Tags

  1. double-sided thick checkerboard
  2. multi-camera rig calibration algorithm
  3. double sided planar target
  4. planar calibration target
  5. extrinsic parameter estimation
  6. double-sided target displacement error
  7. 4K camera
  8. smartphone

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 15 Oct 2024

Other Metrics

Citations

Cited By

View all

View Options

View options

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media