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DISOpticalFlow Properties

The DISOpticalFlow type exposes the following members.

Public propertyAlgorithmPtr
Pointer to cv::Algorithm
Public propertyDenseOpticalFlowPtr
Pointer to native cv::DenseOpticalFlow
Public propertyFinestScale
Finest level of the Gaussian pyramid on which the flow is computed (zero level corresponds to the original image resolution). The final flow is obtained by bilinear upscaling.
Public propertyGradientDescentIterations
Maximum number of gradient descent iterations in the patch inverse search stage. Higher values may improve quality in some cases.
Public propertyPatchSize
Size of an image patch for matching (in pixels). Normally, default 8x8 patches work well enough in most cases.
Public propertyPatchStride
Stride between neighbor patches. Must be less than patch size. Lower values correspond to higher flow quality.
Public propertyPtr
Pointer to the unmanaged object
(Inherited from UnmanagedObject.)
Public propertyUseMeanNormalization
Whether to use mean-normalization of patches when computing patch distance. It is turned on by default as it typically provides a noticeable quality boost because of increased robustness to illumination variations. Turn it off if you are certain that your sequence doesn't contain any changes in illumination.
Public propertyUseSpatialPropagation
Whether to use spatial propagation of good optical flow vectors. This option is turned on by default, as it tends to work better on average and can sometimes help recover from major errors introduced by the coarse-to-fine scheme employed by the DIS optical flow algorithm. Turning this option off can make the output flow field a bit smoother, however.
Public propertyVariationalRefinementAlpha
Weight of the smoothness term
Public propertyVariationalRefinementDelta
Weight of the color constancy term
Public propertyVariationalRefinementGamma
Weight of the gradient constancy term
Public propertyVariationalRefinementIterations
Number of fixed point iterations of variational refinement per scale. Set to zero to disable variational refinement completely. Higher values will typically result in more smooth and high-quality flow.
See Also