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gpuoptflow module fixes

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This commit is contained in:
Vladislav Vinogradov
2013-04-18 10:36:52 +04:00
parent f531dd839c
commit 3156e803be
19 changed files with 526 additions and 371 deletions
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23
modules/gpuoptflow/doc/optflow.rst
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@@ -1,5 +1,5 @@
Video Analysis
==============
Optical Flow
============
.. highlight:: cpp
@@ -46,25 +46,6 @@ Class computing the optical flow for two images using Brox et al Optical Flow al
gpu::GoodFeaturesToTrackDetector_GPU::GoodFeaturesToTrackDetector_GPU
---------------------------------------------------------------------
Constructor.
.. ocv:function:: gpu::GoodFeaturesToTrackDetector_GPU::GoodFeaturesToTrackDetector_GPU(int maxCorners = 1000, double qualityLevel = 0.01, double minDistance = 0.0, int blockSize = 3, bool useHarrisDetector = false, double harrisK = 0.04)
:param maxCorners: Maximum number of corners to return. If there are more corners than are found, the strongest of them is returned.
:param qualityLevel: Parameter characterizing the minimal accepted quality of image corners. The parameter value is multiplied by the best corner quality measure, which is the minimal eigenvalue (see :ocv:func:`gpu::cornerMinEigenVal` ) or the Harris function response (see :ocv:func:`gpu::cornerHarris` ). The corners with the quality measure less than the product are rejected. For example, if the best corner has the quality measure = 1500, and the ``qualityLevel=0.01`` , then all the corners with the quality measure less than 15 are rejected.
:param minDistance: Minimum possible Euclidean distance between the returned corners.
:param blockSize: Size of an average block for computing a derivative covariation matrix over each pixel neighborhood. See :ocv:func:`cornerEigenValsAndVecs` .
:param useHarrisDetector: Parameter indicating whether to use a Harris detector (see :ocv:func:`gpu::cornerHarris`) or :ocv:func:`gpu::cornerMinEigenVal`.
:param harrisK: Free parameter of the Harris detector.
gpu::FarnebackOpticalFlow
-------------------------
.. ocv:class:: gpu::FarnebackOpticalFlow