OpenCV453
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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. [詳解]
#include <photo.hpp>
cv::CalibrateCRFを継承しています。
公開メンバ関数 | |
virtual CV_WRAP float | getLambda () const =0 |
virtual CV_WRAP void | setLambda (float lambda)=0 |
virtual CV_WRAP int | getSamples () const =0 |
virtual CV_WRAP void | setSamples (int samples)=0 |
virtual CV_WRAP bool | getRandom () const =0 |
virtual CV_WRAP void | setRandom (bool random)=0 |
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virtual CV_WRAP void | process (InputArrayOfArrays src, OutputArray dst, InputArray times)=0 |
Recovers inverse camera response. [詳解] | |
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virtual CV_WRAP void | clear () |
Clears the algorithm state [詳解] | |
virtual void | write (FileStorage &fs) const |
Stores algorithm parameters in a file storage [詳解] | |
CV_WRAP void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。 | |
virtual CV_WRAP void | read (const FileNode &fn) |
Reads algorithm parameters from a file storage [詳解] | |
virtual CV_WRAP bool | empty () const |
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read [詳解] | |
virtual CV_WRAP void | save (const String &filename) const |
virtual CV_WRAP String | getDefaultName () const |
その他の継承メンバ | |
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template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node [詳解] | |
template<typename _Tp > | |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
Loads algorithm from the file [詳解] | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String [詳解] | |
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void | writeFormat (FileStorage &fs) const |
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 [DM97] .