cv::structured_light::SinusoidalPattern Class Reference

Class implementing Fourier transform profilometry (FTP) , phase-shifting profilometry (PSP) and Fourier-assisted phase-shifting profilometry (FAPS) based on [64]. More...

#include <opencv2/structured_light/sinusoidalpattern.hpp>

Collaboration diagram for cv::structured_light::SinusoidalPattern:

Classes
struct	Params
	Parameters of SinusoidalPattern constructor. More...

Public Member Functions
virtual void	computeDataModulationTerm (InputArrayOfArrays patternImages, OutputArray dataModulationTerm, InputArray shadowMask)=0
	compute the data modulation term.
virtual void	computePhaseMap (InputArrayOfArrays patternImages, OutputArray wrappedPhaseMap, OutputArray shadowMask=noArray(), InputArray fundamental=noArray())=0
	Compute a wrapped phase map from sinusoidal patterns.
virtual void	findProCamMatches (InputArray projUnwrappedPhaseMap, InputArray camUnwrappedPhaseMap, OutputArrayOfArrays matches)=0
	Find correspondences between the two devices thanks to unwrapped phase maps.
virtual void	unwrapPhaseMap (InputArray wrappedPhaseMap, OutputArray unwrappedPhaseMap, cv::Size camSize, InputArray shadowMask=noArray())=0
	Unwrap the wrapped phase map to remove phase ambiguities.
Public Member Functions inherited from cv::structured_light::StructuredLightPattern
virtual bool	decode (const std::vector< std::vector< Mat > > &patternImages, OutputArray disparityMap, InputArrayOfArrays blackImages=noArray(), InputArrayOfArrays whiteImages=noArray(), int flags=DECODE_3D_UNDERWORLD) const =0
	Decodes the structured light pattern, generating a disparity map.
virtual bool	generate (OutputArrayOfArrays patternImages)=0
	Generates the structured light pattern to project.
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< SinusoidalPattern >	create (Ptr< SinusoidalPattern::Params > parameters=makePtr< SinusoidalPattern::Params >())
	Constructor.
Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp>
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file.
template<typename _Tp>
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp>
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Class implementing Fourier transform profilometry (FTP) , phase-shifting profilometry (PSP) and Fourier-assisted phase-shifting profilometry (FAPS) based on [64].

This class generates sinusoidal patterns that can be used with FTP, PSP and FAPS.

Member Function Documentation

computeDataModulationTerm()

virtual void cv::structured_light::SinusoidalPattern::computeDataModulationTerm ( InputArrayOfArrays patternImages, OutputArray dataModulationTerm, InputArray shadowMask )

pure virtual

Python:
	cv.structured_light.SinusoidalPattern.computeDataModulationTerm(	patternImages, shadowMask[, dataModulationTerm]	) ->	dataModulationTerm

compute the data modulation term.

Parameters

patternImages	captured images with projected patterns.
dataModulationTerm	Mat where the data modulation term is saved.
shadowMask	Mask used to discard shadow regions.

computePhaseMap()

virtual void cv::structured_light::SinusoidalPattern::computePhaseMap ( InputArrayOfArrays patternImages, OutputArray wrappedPhaseMap, OutputArray shadowMask = noArray(), InputArray fundamental = noArray() )

pure virtual

Python:
	cv.structured_light.SinusoidalPattern.computePhaseMap(	patternImages[, wrappedPhaseMap[, shadowMask[, fundamental]]]	) ->	wrappedPhaseMap, shadowMask

Compute a wrapped phase map from sinusoidal patterns.

Parameters

patternImages	Input data to compute the wrapped phase map.
wrappedPhaseMap	Wrapped phase map obtained through one of the three methods.
shadowMask	Mask used to discard shadow regions.
fundamental	Fundamental matrix used to compute epipolar lines and ease the matching step.

Here is the call graph for this function:

create()

Ptr< SinusoidalPattern > cv::structured_light::SinusoidalPattern::create ( Ptr< SinusoidalPattern::Params > parameters = makePtr< SinusoidalPattern::Params >() )

static

Python:
	cv.structured_light.SinusoidalPattern.create(	[, parameters]	) ->	retval
	cv.structured_light.SinusoidalPattern_create(	[, parameters]	) ->	retval

Constructor.

Parameters

parameters

SinusoidalPattern parameters SinusoidalPattern::Params: width, height of the projector and patterns parameters.

Here is the call graph for this function:

findProCamMatches()

virtual void cv::structured_light::SinusoidalPattern::findProCamMatches ( InputArray projUnwrappedPhaseMap, InputArray camUnwrappedPhaseMap, OutputArrayOfArrays matches )

pure virtual

Python:
	cv.structured_light.SinusoidalPattern.findProCamMatches(	projUnwrappedPhaseMap, camUnwrappedPhaseMap[, matches]	) ->	matches

Find correspondences between the two devices thanks to unwrapped phase maps.

Parameters

projUnwrappedPhaseMap	Projector's unwrapped phase map.
camUnwrappedPhaseMap	Camera's unwrapped phase map.
matches	Images used to display correspondences map.

unwrapPhaseMap()

virtual void cv::structured_light::SinusoidalPattern::unwrapPhaseMap ( InputArray wrappedPhaseMap, OutputArray unwrappedPhaseMap, cv::Size camSize, InputArray shadowMask = noArray() )

pure virtual

Python:
	cv.structured_light.SinusoidalPattern.unwrapPhaseMap(	wrappedPhaseMap, camSize[, unwrappedPhaseMap[, shadowMask]]	) ->	unwrappedPhaseMap

Unwrap the wrapped phase map to remove phase ambiguities.

Parameters

wrappedPhaseMap	The wrapped phase map computed from the pattern.
unwrappedPhaseMap	The unwrapped phase map used to find correspondences between the two devices.
camSize	Resolution of the camera.
shadowMask	Mask used to discard shadow regions.

Here is the call graph for this function:

---

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

• opencv2/structured_light/sinusoidalpattern.hpp