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Empirical evaluation of a calibration chart detector

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Machine Vision and Applications Aims and scope Submit manuscript

Abstract.

In this paper, we systematically assess the performance of an automatic calibration chart detector. Through simulation we establish the optimal set of control parameters and the rate of successful detection as a function of pose. We validate the simulation results on real images taken from a camera mounted on a robot arm. The results confirm the utility of such simulation studies. The feedback obtained suggested a number of modifications for the chart detection system, which led to a significant improvement in performance. In particular, the chart design was changed to accommodate wider range and better stability in detection.

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Authors and Affiliations

  1. Centre for Vision, Speech and Signal Processing, School of EEITM, University of Surrey, Guildford, Surrey GU2 5XH, UK , , , , , , GB

    Soh Ling Min & Josef Kittler

  2. Centre for Machine Perception, Czech Technical University, Karlovo n´městí 13, 12135 Praha, Czech Republic , , , , , , CZ

    Jiri Matas

Authors
  1. Soh Ling Min
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  2. Josef Kittler
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  3. Jiri Matas
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Additional information

Received: 16 December 1999 / Accepted: 15 October 2000

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Min, S., Kittler, J. & Matas, J. Empirical evaluation of a calibration chart detector. Machine Vision and Applications 12, 305–325 (2001). https://doi.org/10.1007/s001380050148

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  • DOI: https://doi.org/10.1007/s001380050148

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