OpenCV  5.0.0alpha
Open Source Computer Vision
Loading...
Searching...
No Matches
cv::CalibrateRobertson Class Referenceabstract

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>

Collaboration 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.
 
- 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< _Tpload (const String &filename, const String &objname=String())
 Loads algorithm from the file.
 
template<typename _Tp >
static Ptr< _TploadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String.
 
template<typename _Tp >
static Ptr< _Tpread (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. This algorithm uses all image pixels.

For more information see [228] .

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

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