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Is Linear Camera Space Manipulation Impervious to Systematic Distortions?

[+] Author Affiliations
Felipe Martinez, Antonio Cardenas

University Aut. de S. Luis Potosi, San Luis Potosi, Mexico

Adam Mihalko, Lillian Blum, Davide Piovesan

Gannon University, Erie, PA

Paper No. IMECE2018-87645, pp. V003T04A076; 8 pages
  • ASME 2018 International Mechanical Engineering Congress and Exposition
  • Volume 3: Biomedical and Biotechnology Engineering
  • Pittsburgh, Pennsylvania, USA, November 9–15, 2018
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5202-6
  • Copyright © 2018 by ASME


Raster imaging is a low cost application for the tracing of movements for biomedical applications. While of the shelf cameras can nowadays provide pictures with high resolution, the optics used can generate unwanted distortions. We evaluated the positional error obtained using a set of GoPro® cameras in conjunction with a Linear Camera Space Manipulation (LCSM) calibration model. The positioning error was compared with a post-processing algorithm to compensate for the radial distortion of a fisheye lens. We found that using the correction algorithm, the error is statistically lower, but the decrease is negligible for practical use. This demonstrates the imperviousness of LCSM to systematic errors of non-Gaussian nature.

Copyright © 2018 by ASME



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