Quantitative Color Optical Flow

  title={Quantitative Color Optical Flow},
  author={John L. Barron and Reinhard Klette},
We perform a qualitative and quantitative analysis of various multi-frame color optical flow methods for synthetic and real panning and zooming image sequences. We show that optical flow accuracy improvement can be significant if color images are available instead of gray value or saturation images. We show the usefulness of a directional regularization constraint for computing optical flow when the camera motion is known to be panning or zooming. 
Highly Cited
This paper has 77 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 41 extracted citations

77 Citations

Citations per Year
Semantic Scholar estimates that this publication has 77 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 12 references

Image flow: fundamentals and algorithms. In Motion Understanding - Robot and Human Vision (W.N. Martin and J.K

  • B. G. Schunck
  • 1988
Highly Influential
6 Excerpts

Quantitative comparisons of differential methods for measuring of image velocity

  • P. Handschack, R. Klette
  • In Proc. Aspects of Visual Form Processing, Capri…
  • 1994
1 Excerpt

Optical flow detection by color images

  • N. Ohta
  • NEC Research and Development,
  • 1990
2 Excerpts

Similar Papers

Loading similar papers…