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Mentioned in doc if a function is parallelized with the TBB library (issue #421)

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Ilya Lysenkov
2012-04-13 15:31:18 +00:00
parent 74cc370c74
commit 2f44610ef3
13 changed files with 28 additions and 11 deletions
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modules/video/doc/motion_analysis_and_object_tracking.rst
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@@ -41,8 +41,7 @@ Calculates an optical flow for a sparse feature set using the iterative Lucas-Ka
:param minEigThreshold: The algorithm computes a minimum eigen value of a 2x2 normal matrix of optical flow equations (this matrix is called a spatial gradient matrix in [Bouguet00]_) divided by number of pixels in a window. If this value is less then ``minEigThreshold`` then a corresponding feature is filtered out and its flow is not computed. So it allows to remove bad points earlier and speed up the computation.
The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See
[Bouguet00]_.
The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See [Bouguet00]_. The function is parallelized with the TBB library.