Increasing Performance of the Semi-global Matching Stereo Algorithm

Authors

  • A. V. Argutin South Ural State University

Keywords:

stereo-vision, semi-global matching, optimization, real-time algorithms

Abstract

The article describes aspects and parameters of the semi-global matching stereo algorithm applicable for optimization towards decreasing the amount of calculations to perform and increasing the number of disparity image frames generated by the algorithm per unit time. Two approaches are proposed, their pros and cons explained, results of their implementation applied to the test data are displayed, and comparative analysis of bad pixels is presented.

Author Biography

A. V. Argutin, South Ural State University

аспирант кафедры информационных систем

References

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Hirshmuller H. Evaluation of Cost Functions for Stereo Matching. Computer Vision and Pattern Recognition, 2007, vol. 0, pp. 1–8. Available at: http://vision.middlebury.edu/~schar/papers/evalCosts_cvpr07.pdf; http://www.dlr.de/rm/en/PortalData/3/Resources/papers/modeler/cvpr05hh.pdf.

Xiang X., Zhang M., Li G., He Y., Pan Z. Real-time stereo matching based on fast belief propagation. Machine Vision and Applications, 2012, vol. 23, pp. 1219–1227. Available at: http://link.springer.com/article/10.1007%2Fs00138-011-0405-1.

Gehrig S.K., Rabe C. Real-time Semi-Global Matching on the CPU. Computer Vision and Pattern Recognition Workshops, 2010, vol. 17, pp. 85–92. Available at: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5543779&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5543779.

Published

2014-05-26

Issue

Section

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