Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization

@article{Kearney1987OpticalFE,
  title={Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization},
  author={Joseph K. Kearney and William B. Thompson and Daniel L. Boley},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={1987},
  volume={PAMI-9},
  pages={229-244}
}
Multiple views of a scene can provide important information about the structure and dynamic behavior of three-dimensional objects. Many of the methods that recover this information require the determination of optical flow-the velocity, on the image, of visible points on object surfaces. An important class of techniques for estimating optical flow depend on the relationship between the gradients of image brightness. While gradient-based methods have been widely studied, little attention has… CONTINUE READING
Highly Influential
This paper has highly influenced 12 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS

References

Publications referenced by this paper.
Showing 1-10 of 17 references

Bounding constraint propagation for optical flow estimation

  • Motion Understanding, J. Aggarwal and W. Martin…
  • 1986
2 Excerpts

Gradient-based estimation of optical flow with global optimization

  • J. K. Kearney, W. B. Thompson
  • Proc. First Conf. Artificial Intell. Applications…
  • 1984
1 Excerpt

Gradient-based estimation of optical flow

  • J. K. Kearney
  • Ph.D. dissertation, Dep. Comput. Sci., Univ…
  • 1983
1 Excerpt

Similar Papers

Loading similar papers…