Multi-spectral stereo image matching using mutual information

@article{Fookes2004MultispectralSI,
  title={Multi-spectral stereo image matching using mutual information},
  author={Clinton Fookes and Anthony John Maeder and Sridha Sridharan and Jamie Cook},
  journal={Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.},
  year={2004},
  pages={961-968}
}
Mutual information (MI) has shown promise as an effective stereo matching measure for images affected by radiometric distortion. This is due to the robustness of MI against changes in illumination. However, MI-based approaches are particularly prone to the generation of false matches due to the small statistical power of the matching windows. Consequently, most previous MI approaches utilise large matching windows which smooth the estimated disparity field. This work proposes extensions to MI… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-9 OF 9 REFERENCES

Reliability Analysis of Transform-Based Stereo Matching Techniques, and a New Matching Constraint

  • J. Banks
  • PhD thesis, SCSN, School of Electrical and…
  • 1999
Highly Influential
3 Excerpts

Mutual information as a matching criterion for stereo pairs of images, volume 14, chapter Analysis of Biomedical Signals and Images, pages 101–103

  • R. Chrastek, J. Jan
  • 1998
1 Excerpt

Encyclopedia of Artifical Intelligence, chapter Stereo Vision, pages 1083–1090

  • S. Barnard, M. Fischler
  • 1987
1 Excerpt

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