Class cv::reg::Map#

Base class for modelling a Map between two images. View details

#include <opencv2/reg/map.hpp>

Collaboration diagram for cv::reg::Map:

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()#

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

Virtual destructor

Member Function Documentation#

compose()#

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

Python:

cv.reg.Map.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

map — Transformation to compose with.

inverseMap()#

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

Python:

cv.reg.Map.inverseMap() -> retval

Calculates the inverse map

Returns

Inverse map

inverseWarp()#

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

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

img1 — Original image
img2 — Warped image

scale()#

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

Python:

cv.reg.Map.scale(factor)

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

Parameters

factor — Expansion if bigger than one, compression if smaller than one

warp()#

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

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

img1 — Original image
img2 — Warped image

Source file#

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

opencv2/reg/map.hpp