Class cv::ThinPlateSplineShapeTransformer#

Definition of the transformation. View details

#include <opencv2/shape/shape_transformer.hpp>

Collaboration diagram for cv::ThinPlateSplineShapeTransformer:

cv::ThinPlateSplineShapeTransformer Node1 cv::ThinPlateSplineShape Transformer   + getRegularizationParameter() + setRegularizationParameter() Node2 cv::ShapeTransformer   + applyTransformation() + estimateTransformation() + warpImage() Node2->Node1 Node3 cv::Algorithm   + Algorithm() + ~Algorithm() + clear() + empty() + getDefaultName() + read() + save() + write() + write() + load() + loadFromString() + read() # writeFormat() Node3->Node2

cv::ThinPlateSplineShapeTransformer Node1 cv::ThinPlateSplineShape Transformer   + getRegularizationParameter() + setRegularizationParameter() Node2 cv::ShapeTransformer   + applyTransformation() + estimateTransformation() + warpImage() Node2->Node1 Node3 cv::Algorithm   + Algorithm() + ~Algorithm() + clear() + empty() + getDefaultName() + read() + save() + write() + write() + load() + loadFromString() + read() # writeFormat() Node3->Node2

Public Member Functions#

Public Member Functions inherited from cv::ShapeTransformer

Return

Name

Description

float

applyTransformation(
    InputArray input,
    OutputArray output = noArray() )

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

void

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

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

void

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.
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#

Definition of the transformation.

occupied in the paper “Principal Warps: Thin-Plate Splines and Decomposition of Deformations”, by F.L. Bookstein (PAMI 1989). :

Member Function Documentation#

getRegularizationParameter()#

double cv::ThinPlateSplineShapeTransformer::getRegularizationParameter()

setRegularizationParameter()#

void cv::ThinPlateSplineShapeTransformer::setRegularizationParameter(double beta)

Set the regularization parameter for relaxing the exact interpolation requirements of the TPS algorithm.

Parameters

  • beta — value of the regularization parameter.

Source file#

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