cv::reg::Map Class Reference

Base class for modelling a Map between two images. More...

#include <opencv2/reg/map.hpp>

Inheritance diagram for cv::reg::Map:

Public Member Functions
virtual	~Map ()
virtual void	compose (cv::Ptr< Map > map)=0
virtual cv::Ptr< Map >	inverseMap () const =0
virtual void	inverseWarp (InputArray img1, OutputArray img2) const =0
virtual void	scale (double factor)=0
virtual void	warp (InputArray img1, OutputArray img2) const

Detailed Description

Base class for modelling a Map between two images.

The class is only used to define the common interface for any possible map.

Constructor & Destructor Documentation

~Map()

virtual cv::reg::Map::~Map ( )

virtual

Virtual destructor

Member Function Documentation

compose()

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

pure virtual

Python:
	cv.reg_Map.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.

Implemented in cv::reg::MapShift, cv::reg::MapAffine, and cv::reg::MapProjec.

inverseMap()

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

pure virtual

Python:
	cv.reg_Map.inverseMap(		) ->	retval

Calculates the inverse map

Returns

Inverse map

Implemented in cv::reg::MapShift, cv::reg::MapAffine, and cv::reg::MapProjec.

inverseWarp()

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

pure virtual

Python:
	cv.reg_Map.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

Implemented in cv::reg::MapShift, cv::reg::MapAffine, and cv::reg::MapProjec.

scale()

virtual void cv::reg::Map::scale ( double  factor )

pure virtual

Python:
	cv.reg_Map.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

Implemented in cv::reg::MapShift, cv::reg::MapAffine, and cv::reg::MapProjec.

warp()

virtual void cv::reg::Map::warp ( InputArray  img1, OutputArray  img2  ) const

virtual

Python:
	cv.reg_Map.warp(	img1[, img2]	) ->	img2

Warps image to a new coordinate frame. The calculation is img2(x)=img1(T^{-1}(x)), as we have to apply the inverse transformation to the points to move them to were the values of img2 are.

Parameters

[in]	img1	Original image
[out]	img2	Warped image

---

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

• opencv2/reg/map.hpp