cv::reg::MapProjec Class Reference

#include <opencv2/reg/mapprojec.hpp>

Collaboration diagram for cv::reg::MapProjec:

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< Map >	inverseMap () 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:
	cv.reg.MapProjec(		) ->	<reg_MapProjec object>
	cv.reg.MapProjec(	projTr	) ->	<reg_MapProjec object>

Default constructor builds an identity map

MapProjec() [2/2]

cv::reg::MapProjec::MapProjec

(

InputArray

projTr

)

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

Constructor providing explicit values

Parameters

[in]

projTr

Projective transformation

~MapProjec()

cv::reg::MapProjec::~MapProjec

(

)

Destructor

Member Function Documentation

compose()

void cv::reg::MapProjec::compose ( cv::Ptr< Map >  map )

virtual

Python:
	cv.reg.MapProjec.compose(	map	) ->	None

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]

map

Transformation to compose with.

Implements cv::reg::Map.

getProjTr() [1/2]

const cv::Matx< double, 3, 3 > & cv::reg::MapProjec::getProjTr ( ) const

inline

Python:
	cv.reg.MapProjec.getProjTr(	[, projTr]	) ->	projTr

Returns projection matrix

Returns

Projection matrix

getProjTr() [2/2]

void cv::reg::MapProjec::getProjTr ( OutputArray  projTr ) const

inline

Python:
	cv.reg.MapProjec.getProjTr(	[, projTr]	) ->	projTr

Here is the call graph for this function:

inverseMap()

cv::Ptr< Map > cv::reg::MapProjec::inverseMap ( ) const

virtual

Python:
	cv.reg.MapProjec.inverseMap(		) ->	retval

Calculates the inverse map

Returns

Inverse map

Implements cv::reg::Map.

inverseWarp()

void cv::reg::MapProjec::inverseWarp ( InputArray  img1, OutputArray  img2  ) const

virtual

Python:
	cv.reg.MapProjec.inverseWarp(	img1[, img2]	) ->	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]	img1	Original image
[out]	img2	Warped image

Implements cv::reg::Map.

normalize()

void cv::reg::MapProjec::normalize ( )

inline

Python:
	cv.reg.MapProjec.normalize(		) ->	None

Normalizes object's homography

scale()

void cv::reg::MapProjec::scale ( double  factor )

virtual

Python:
	cv.reg.MapProjec.scale(	factor	) ->	None

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

Parameters

[in]

factor

Expansion if bigger than one, compression if smaller than one

Implements cv::reg::Map.

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

• opencv2/reg/mapprojec.hpp