OpenCV  3.4.11-dev
Open Source Computer Vision
Public Member Functions | List of all members
cv::reg::MapProjec Class Reference

#include <opencv2/reg/mapprojec.hpp>

Inheritance diagram for cv::reg::MapProjec:
cv::reg::Map

Public Member Functions

 MapProjec ()
 
 MapProjec (InputArray projTr)
 
 ~MapProjec ()
 
void compose (cv::Ptr< Map > map) CV_OVERRIDE
 
const cv::Matx< double, 3, 3 > & getProjTr () const
 
void getProjTr (OutputArray projTr) const
 
cv::Ptr< MapinverseMap () const CV_OVERRIDE
 
void inverseWarp (InputArray img1, OutputArray img2) const CV_OVERRIDE
 
void normalize ()
 
void scale (double factor) CV_OVERRIDE
 
- Public Member Functions inherited from cv::reg::Map
virtual ~Map ()
 
virtual void warp (InputArray img1, OutputArray img2) const
 

Detailed Description

Defines an transformation that consists on a projective transformation

Constructor & Destructor Documentation

◆ MapProjec() [1/2]

cv::reg::MapProjec::MapProjec ( )
Python:
<reg_MapProjec object>=cv.reg_MapProjec()
<reg_MapProjec object>=cv.reg_MapProjec(projTr)

Default constructor builds an identity map

◆ MapProjec() [2/2]

cv::reg::MapProjec::MapProjec ( InputArray  projTr)
Python:
<reg_MapProjec object>=cv.reg_MapProjec()
<reg_MapProjec object>=cv.reg_MapProjec(projTr)

Constructor providing explicit values

Parameters
[in]projTrProjective transformation

◆ ~MapProjec()

cv::reg::MapProjec::~MapProjec ( )

Destructor

Member Function Documentation

◆ compose()

void cv::reg::MapProjec::compose ( cv::Ptr< Map map)
virtual
Python:
None=cv.reg_MapProjec.compose(map)

Changes the map composing the current transformation with the one provided in the call. The order is first the current transformation, then the input argument.

Parameters
[in]mapTransformation to compose with.

Implements cv::reg::Map.

◆ getProjTr() [1/2]

const cv::Matx<double, 3, 3>& cv::reg::MapProjec::getProjTr ( ) const
inline
Python:
projTr=cv.reg_MapProjec.getProjTr([, projTr])

Returns projection matrix

Returns
Projection matrix

◆ getProjTr() [2/2]

void cv::reg::MapProjec::getProjTr ( OutputArray  projTr) const
inline
Python:
projTr=cv.reg_MapProjec.getProjTr([, projTr])

◆ inverseMap()

cv::Ptr<Map> cv::reg::MapProjec::inverseMap ( ) const
virtual
Python:
retval=cv.reg_MapProjec.inverseMap()

Calculates the inverse map

Returns
Inverse map

Implements cv::reg::Map.

◆ inverseWarp()

void cv::reg::MapProjec::inverseWarp ( InputArray  img1,
OutputArray  img2 
) const
virtual
Python:
img2=cv.reg_MapProjec.inverseWarp(img1[, img2])

Warps image to a new coordinate frame. The calculation is img2(x)=img1(T(x)), so in fact this is the inverse warping as we are taking the value of img1 with the forward transformation of the points.

Parameters
[in]img1Original image
[out]img2Warped image

Implements cv::reg::Map.

◆ normalize()

void cv::reg::MapProjec::normalize ( )
inline
Python:
None=cv.reg_MapProjec.normalize()

Normalizes object's homography

◆ scale()

void cv::reg::MapProjec::scale ( double  factor)
virtual
Python:
None=cv.reg_MapProjec.scale(factor)

Scales the map by a given factor as if the coordinates system is expanded/compressed by that factor.

Parameters
[in]factorExpansion if bigger than one, compression if smaller than one

Implements cv::reg::Map.


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