Sub-pixel Profiling

@article{Bailey2005SubpixelP,
  title={Sub-pixel Profiling},
  author={D. G. Bailey},
  journal={2005 5th International Conference on Information Communications & Signal Processing},
  year={2005},
  pages={1311-1315}
}
A procedure is described that enables a high resolution profile to be obtained across an edge or line. The method works by first performing a sub-pixel estimation of each point on the edge or line assuming a parabolic sub-pixel profile. A second stage fits a high order model along the length of the line, allowing any bias in the original sub-pixel fit to be estimated by applying a low order model to the residuals. Successive rows within the image are then fused to increase the sample rate and… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-6 OF 6 REFERENCES

Subpixel estimation of local extrema

D. G. Bailey
  • Proceedings Image and Vision Computing New Zealand Conference,
  • 2003
VIEW 2 EXCERPTS

A new approach to lens distortion correction

D. G. Bailey
  • Proceedings Image and Vision Computing New Zealand Conference,
  • 2002
VIEW 2 EXCERPTS

Calibration procedure for short focal length off-the-shelf CCD cameras

  • Proceedings of 13th International Conference on Pattern Recognition
  • 1996
VIEW 1 EXCERPT