Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: FALDOI: A new minimization strategy for large displacement variational
  optical flow   We propose a large displacement optical flow method that introduces a new
strategy to compute a good local minimum of any optical flow energy functional.
The method requires a given set of discrete matches, which can be extremely
sparse, and an energy functional which locally guides the interpolation from
those matches. In particular, the matches are used to guide a structured
coordinate-descent of the energy functional around these keypoints. It results
in a two-step minimization method at the finest scale which is very robust to
the inevitable outliers of the sparse matcher and able to capture large
displacements of small objects. Its benefits over other variational methods
that also rely on a set of sparse matches are its robustness against very few
matches, high levels of noise and outliers. We validate our proposal using
several optical flow variational models. The results consistently outperform
the coarse-to-fine approaches and achieve good qualitative and quantitative
performance on the standard optical flow benchmarks.

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The categories of this paper are: atom-ph
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The categories of this paper are: eess
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The categories of this paper are: plasm-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: bayes-an
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The categories of this paper are: gr-qc
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The categories of this paper are: nucl-ex
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-ex
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The categories of this paper are: alg-geom
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The categories of this paper are: supr-con
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The categories of this paper are: hep-lat
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The categories of this paper are: physics
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The categories of this paper are: math
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The categories of this paper are: funct-an
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The categories of this paper are: chem-ph