Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids

@article{Chen2016FullFO,
  title={Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids},
  author={Qifeng Chen and Vladlen Koltun},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={4706-4714}
}
We present a global optimization approach to optical flow estimation. The approach optimizes a classical optical flow objective over the full space of mappings between discrete grids. No descriptor matching is used. The highly regular structure of the space of mappings enables optimizations that reduce the computational complexity of the algorithm's inner loop from quadratic to linear and support efficient matching of tens of thousands of nodes to tens of thousands of displacements. We show… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 48 references

EpicFlow: Edge-preserving interpolation of correspondences for optical flow

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2015
View 9 Excerpts
Highly Influenced

Determining Optical Flow

Artif. Intell. • 1981
View 8 Excerpts
Highly Influenced

Object scene flow for autonomous vehicles

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2015
View 4 Excerpts
Highly Influenced

Optical Flow with Semantic Segmentation and Localized Layers

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016
View 1 Excerpt

Dense

J. Yang, H. Li
accurate optical flow estimation with piecewise parametric model. In CVPR • 2015
View 1 Excerpt

Dense, accurate optical flow estimation with piecewise parametric model

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2015

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