Class cv::ShapeTransformer#

Abstract base class for shape transformation algorithms.

Collaboration diagram for cv::ShapeTransformer:

Public Member Functions#

Public Member Functions inherited from cv::Algorithm

Return

Name

Description

Algorithm()

~Algorithm()

void

clear()

Clears the algorithm state.

bool

empty()

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.

String

getDefaultName()

void

read(const FileNode & fn)

Reads algorithm parameters from a file storage.

void

save(const String & filename)

void

write(
    const Ptr< FileStorage > & fs,
    const String & name = String() )

void

write(FileStorage & fs)

Stores algorithm parameters in a file storage.

void

write(
    FileStorage & fs,
    const String & name )

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return

Name

Description

static Ptr< _Tp >

load(
    const String & filename,
    const String & objname = String() )

Loads algorithm from the file.

static Ptr< _Tp >

loadFromString(
    const String & strModel,
    const String & objname = String() )

Loads algorithm from a String.

static Ptr< _Tp >

read(const FileNode & fn)

Reads algorithm from the file node.

Additional Inherited Members#

Protected Member Functions inherited from cv::Algorithm

Return

Name

Description

void

writeFormat(FileStorage & fs)

Detailed Description#

Abstract base class for shape transformation algorithms.

Member Function Documentation#

applyTransformation()#

float cv::ShapeTransformer::applyTransformation(
InputArray input,
OutputArray output = noArray() )

Apply a transformation, given a pre-estimated transformation parameters.

Parameters

  • input — Contour (set of points) to apply the transformation.

  • output — Output contour.

Here is the call graph for this function:

cv::ShapeTransformer::applyTransformation Node1 cv::ShapeTransformer ::applyTransformation Node2 cv::noArray Node1->Node2

cv::ShapeTransformer::applyTransformation Node1 cv::ShapeTransformer ::applyTransformation Node2 cv::noArray Node1->Node2

estimateTransformation()#

void cv::ShapeTransformer::estimateTransformation(
InputArray transformingShape,
InputArray targetShape,
std::vector< DMatch > & matches )

Estimate the transformation parameters of the current transformer algorithm, based on point matches.

Parameters

  • transformingShape — Contour defining first shape.

  • targetShape — Contour defining second shape (Target).

  • matches — Standard vector of Matches between points.

warpImage()#

void cv::ShapeTransformer::warpImage(
InputArray transformingImage,
OutputArray output,
int flags = INTER_LINEAR,
int borderMode = BORDER_CONSTANT,
const Scalar & borderValue = Scalar() )

Apply a transformation, given a pre-estimated transformation parameters, to an Image.

Parameters

  • transformingImage — Input image.

  • output — Output image.

  • flags — Image interpolation method.

  • borderMode — border style.

  • borderValue — border value.

Source file#

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