Namespace OpenCvSharp.OptFlow
Classes
- DenseRLOFOpticalFlow
Fast dense optical flow computation based on robust local optical flow (RLOF) algorithms and sparse-to-dense interpolation scheme.
- DualTVL1OpticalFlow
"Dual TV L1" Optical Flow Algorithm.
- GPCForest5
Class for computing the correspondences between two images using the Global Patch Collider (GPC) algorithm.
- GPCMatchingParams
Parameters used for matching with a GPCForest5.
- GPCTrainingParams
Parameters for training a GPCTree or GPCForest5.
- GPCTrainingSamples
Class encapsulating training samples for the Global Patch Collider (GPC).
- GPCTree
Class for individual tree of the Global Patch Collider (GPC).
- OpticalFlowPCAFlow
PCAFlow algorithm.
- PCAPrior
This class can be used for imposing a learned prior on the resulting optical flow. Solution will be regularized according to this prior. You need to generate an appropriate prior file with the "learn_prior.py" script beforehand.
- RLOFOpticalFlowParameter
Stores and sets up the parameters of the robust local optical flow (RLOF) algorithm.
- SparseRLOFOpticalFlow
Class used for calculating sparse optical flow and feature tracking with robust local optical flow (RLOF) algorithms.
Enums
- GPCDescType
Descriptor types for the Global Patch Collider (GPC).
- InterpolationType
Vector field interpolation method used to compute a dense optical flow from sparse matches (e.g. by DenseRLOFOpticalFlow).
- SolverType
Iterative refinement solver strategy used by RLOFOpticalFlowParameter.
- SupportRegionType
Support region shape used by RLOFOpticalFlowParameter.