OpenCV  3.0.0
Open Source Computer Vision
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cv::cuda::SparseOpticalFlow Class Referenceabstract

Base interface for sparse optical flow algorithms. More...

#include "cudaoptflow.hpp"

Inheritance diagram for cv::cuda::SparseOpticalFlow:
cv::Algorithm cv::cuda::SparsePyrLKOpticalFlow

Public Member Functions

virtual void calc (InputArray prevImg, InputArray nextImg, InputArray prevPts, InputOutputArray nextPts, OutputArray status, OutputArray err=cv::noArray(), Stream &stream=Stream::Null())=0
 Calculates a sparse optical flow. More...
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
virtual ~Algorithm ()
virtual void clear ()
 Clears the algorithm state. More...
virtual bool empty () const
 Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
virtual String getDefaultName () const
virtual void read (const FileNode &fn)
 Reads algorithm parameters from a file storage. More...
virtual void save (const String &filename) const
virtual void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage. More...

Additional Inherited Members

- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp > load (const String &filename, const String &objname=String())
 Loads algorithm from the file. More...
template<typename _Tp >
static Ptr< _Tp > loadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String. More...
template<typename _Tp >
static Ptr< _Tp > read (const FileNode &fn)
 Reads algorithm from the file node. More...

Detailed Description

Base interface for sparse optical flow algorithms.

Member Function Documentation

virtual void cv::cuda::SparseOpticalFlow::calc ( InputArray  prevImg,
InputArray  nextImg,
InputArray  prevPts,
InputOutputArray  nextPts,
OutputArray  status,
OutputArray  err = cv::noArray(),
Stream stream = Stream::Null() 
pure virtual

Calculates a sparse optical flow.

prevImgFirst input image.
nextImgSecond input image of the same size and the same type as prevImg.
prevPtsVector of 2D points for which the flow needs to be found.
nextPtsOutput vector of 2D points containing the calculated new positions of input features in the second image.
statusOutput status vector. Each element of the vector is set to 1 if the flow for the corresponding features has been found. Otherwise, it is set to 0.
errOptional output vector that contains error response for each point (inverse confidence).
streamStream for the asynchronous version.

The documentation for this class was generated from the following file: