cv::CalibrateDebevec Class Reference

Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. Objective function is constructed using pixel values on the same position in all images, extra term is added to make the result smoother. More...

#include <opencv2/photo.hpp>

Collaboration diagram for cv::CalibrateDebevec:

Public Member Functions
virtual float	getLambda () const =0
virtual bool	getRandom () const =0
virtual int	getSamples () const =0
virtual void	setLambda (float lambda)=0
virtual void	setRandom (bool random)=0
virtual void	setSamples (int samples)=0
Public Member Functions inherited from cv::CalibrateCRF
virtual void	process (InputArrayOfArrays src, OutputArray dst, InputArray times)=0
	Recovers inverse camera response.
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) 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.
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.
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. Objective function is constructed using pixel values on the same position in all images, extra term is added to make the result smoother.

For more information see [68] .

Member Function Documentation

getLambda()

virtual float cv::CalibrateDebevec::getLambda ( ) const

pure virtual

Python:
	cv.CalibrateDebevec.getLambda(		) ->	retval

getRandom()

virtual bool cv::CalibrateDebevec::getRandom ( ) const

pure virtual

Python:
	cv.CalibrateDebevec.getRandom(		) ->	retval

getSamples()

virtual int cv::CalibrateDebevec::getSamples ( ) const

pure virtual

Python:
	cv.CalibrateDebevec.getSamples(		) ->	retval

setLambda()

virtual void cv::CalibrateDebevec::setLambda ( float lambda )

pure virtual

Python:
	cv.CalibrateDebevec.setLambda(	lambda_	) ->	None

setRandom()

virtual void cv::CalibrateDebevec::setRandom ( bool random )

pure virtual

Python:
	cv.CalibrateDebevec.setRandom(	random	) ->	None

setSamples()

virtual void cv::CalibrateDebevec::setSamples ( int samples )

pure virtual

Python:
	cv.CalibrateDebevec.setSamples(	samples	) ->	None

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

• opencv2/photo.hpp