cv::CalibrateRobertson Class Reference

Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. This algorithm uses all image pixels. More...

#include <opencv2/photo.hpp>

Inheritance diagram for cv::CalibrateRobertson:

Public Member Functions
virtual int	getMaxIter () const =0
virtual Mat	getRadiance () const =0
virtual float	getThreshold () const =0
virtual void	setMaxIter (int max_iter)=0
virtual void	setThreshold (float threshold)=0
Public Member Functions inherited from cv::CalibrateCRF
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

Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. This algorithm uses all image pixels.

For more information see [183] .

Member Function Documentation

getMaxIter()

virtual int cv::CalibrateRobertson::getMaxIter ( ) const

pure virtual

Python:
	cv.CalibrateRobertson.getMaxIter(		) ->	retval

getRadiance()

virtual Mat cv::CalibrateRobertson::getRadiance ( ) const

pure virtual

Python:
	cv.CalibrateRobertson.getRadiance(		) ->	retval

getThreshold()

virtual float cv::CalibrateRobertson::getThreshold ( ) const

pure virtual

Python:
	cv.CalibrateRobertson.getThreshold(		) ->	retval

setMaxIter()

virtual void cv::CalibrateRobertson::setMaxIter ( int  max_iter )

pure virtual

Python:
	cv.CalibrateRobertson.setMaxIter(	max_iter	) ->	None

setThreshold()

virtual void cv::CalibrateRobertson::setThreshold ( float  threshold )

pure virtual

Python:
	cv.CalibrateRobertson.setThreshold(	threshold	) ->	None

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

• opencv2/photo.hpp