Real-time Semi-Global Matching on the CPU

@article{Gehrig2010RealtimeSM,
  title={Real-time Semi-Global Matching on the CPU},
  author={Stefan K. Gehrig and Clemens Rabe},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops},
  year={2010},
  pages={85-92}
}
Among the top-performing stereo algorithms on the Middlebury Stereo Database, Semi-Global Matching (SGM) is commonly regarded as the most efficient algorithm. Consequently, real-time implementations of the algorithm for graphics hardware (GPU) and reconfigurable hardware (FPGA) exist. However, the computation time on general purpose PCs is still more than a second. 
Highly Cited
This paper has 90 citations. REVIEW CITATIONS
45 Citations
18 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 45 extracted citations

91 Citations

01020'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 91 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 18 references

Evaluation of stereo matching costs on images with radiometric distortions

  • H. Hirschmueller, D. Scharstein
  • IEEE Transact. Pattern Analysis & Machine…
  • 2009
2 Excerpts

A stereo visionbased obstacle detection system in vehicles

  • K. Huh, J. Park, J. Hwang, D. Hong
  • Optics and Lasers in Engineering,
  • 2008

Similar Papers

Loading similar papers…