The base class for camera response calibration algorithms. More...

#include <opencv2/photo.hpp>

Inheritance diagram for cv::CalibrateCRF:

Public Member Functions
virtual void	process (InputArrayOfArrays src, OutputArray dst, InputArray times)=0
	Recovers inverse camera response. 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...

void	write (FileStorage &fs, const String &name) const

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const

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...

Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

The base class for camera response calibration algorithms.

Member Function Documentation

virtual void cv::CalibrateCRF::process	(	InputArrayOfArrays	src,
		OutputArray	dst,
		InputArray	times
	)

pure virtual

Python:
	cv.CalibrateCRF.process(	src, times[, dst]	) ->	dst

Recovers inverse camera response.

Parameters

src	vector of input images
dst	256x1 matrix with inverse camera response function
times	vector of exposure time values for each image

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