ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
Menu

9
Issue
vol 63 / September, 2020
Article

DOI 10.17586/0021-3454-2016-59-3-224-230

UDC 53.087/.088

AN ALGORITHM OF GRID POINT DETERMINATION IN IMAGES FOR STEREO VISION SYSTEM

S. V. Panin
Institute of Strength Physics and Materials Science of the Siberian Branch of RAS, Laboratory of Mechanics of Polymer Composite Materials; Professor, Deputy Director for R&D


V. O. Chemezov
Institute of Strength Physics and Materials Science of the Siberian Branch of RAS, Laboratory of Mechanics of Polymer Composite Materials; Post-Graduate Student


P. S. Lyubutin
Institute of Strength Physics and Materials Science of the Siberian Branch of RAS, Laboratory of Mechanics of Polymer Composite Materials;


Read the full article 

Abstract. An algorithm of grid point determination at calibration pattern images for stereo vision system calibration is presented. The proposed approach is based on analysis of the shape of characteristic points on the template and their spatial location. Testing results demonstrate a robust detection of the calibration pattern in image noise conditions under pattern rotation relative to the camera within a wide angle (up to 45 degrees). The developed algorithm is shown to provide an accuracy of up to 1.2 pixels in determined coordinates of the calibration pattern points.
Keywords: recognition, calibration pattern, image segmentation

References:
  1. Correlated Solutions, Inc., The VIC-3D System, 2013, http://www.correlatedsolutions.com/ vic-3d/.
  2. Bennett S., Lasenby J. Computer Vision and Image Understanding, 2014, no. 118, pp. 197–210 http://www.sciencedirect.com/ science/ article/pii/S1077314213001999.
  3. Panin S.V., Chemezov V.O., Lyubutin P.S. Computational Technologies, 2014, no. 4(19), pp. 61–68. (in Russ.)
  4. Gonzalez R.C., Woods R.E. Digital Image Processing, Prentice Hall, 2008, 954 р.
  5. Haralick R.M., Shapiro L.G. Computer Vision, Graphics, and Image Processing, 1985, no. 1(29).
  6. Vezhnevets A., Barinova O. Komp'yuternaya grafika i mul'timedia, 2006, no. 4(4). (in Russ.)
  7. Shapiro L.G. and Stockman G.C. Computer Vision, Prentice Hall, 2001, 617 p.