SimpleHoughClusterer Class Reference

Matches keypoints by their feature vectors and geometric properties. More...

#include <SimpleHoughClusterer.h>

List of all members.

Public Member Functions
void	eliminateByOrientation ()
	Create an angle histogram and remove nonfitting matches.
void	eliminateByPosition (float maxDistance)
	Translates all points into the same coordinate system and removes matches with a too high distance.
void	eliminateByScale ()
	Create a scale quotient histogram and remove nonfitting matches.
std::string	getLog ()
std::list< KeyPointMatch >	getMatches ()
	SimpleHoughClusterer (std::vector< KeyPoint > *keyPoints1, std::vector< KeyPoint > *keyPoints2, std::list< KeyPointMatch > &matches)
	The constructor.
	~SimpleHoughClusterer ()
	The destructor.
Private Member Functions
std::vector< bool >	computeDeleteMap (std::vector< double > hist, int numBins, int windowSize)
int	deg (float rad)
void	eraseMatches (std::list< unsigned > &indices)
void	getCenters (Point2D &centerA, Point2D &centerB)
float	getMeanScaleQuotient () const
float	getMeanTurnAngle () const
Private Attributes
std::vector< KeyPoint > *	m_KeyPoints1
std::vector< KeyPoint > *	m_KeyPoints2
	objectImagePoints
std::ostringstream	m_Log
std::list< KeyPointMatch >	m_Matches

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Detailed Description

Matches keypoints by their feature vectors and geometric properties.

Author:

David Gossow (RX)

Definition at line 30 of file SimpleHoughClusterer.h.

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Constructor & Destructor Documentation

SimpleHoughClusterer::SimpleHoughClusterer	(	std::vector< KeyPoint > *	keyPoints1,
		std::vector< KeyPoint > *	keyPoints2,
		std::list< KeyPointMatch > &	matches
	)

The constructor.

SimpleHoughClusterer::~SimpleHoughClusterer

(

)

The destructor.

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Member Function Documentation

std::vector<bool> SimpleHoughClusterer::computeDeleteMap	(	std::vector< double >	hist,
		int	numBins,
		int	windowSize
	)		[private]

int SimpleHoughClusterer::deg

(

float

rad

)

[inline, private]

Definition at line 73 of file SimpleHoughClusterer.h.

void SimpleHoughClusterer::eliminateByOrientation

(

)

Create an angle histogram and remove nonfitting matches.

Parameters:

threshold

maximal angle difference to mean angle

void SimpleHoughClusterer::eliminateByPosition

(

float

maxDistance

)

Translates all points into the same coordinate system and removes matches with a too high distance.

Parameters:

maxDistance

maximal distance between original and translated match (multiplied by the ipoint scale)

void SimpleHoughClusterer::eliminateByScale

(

)

Create a scale quotient histogram and remove nonfitting matches.

Parameters:

threshold

maximal difference to mean relative scale

void SimpleHoughClusterer::eraseMatches

(

std::list< unsigned > &

indices

)

[private]

void SimpleHoughClusterer::getCenters	(	Point2D &	centerA,
		Point2D &	centerB
	)		[private]

std::string SimpleHoughClusterer::getLog

(

)

std::list< KeyPointMatch > SimpleHoughClusterer::getMatches

(

)

[inline]

Returns:

remaining matches

Definition at line 57 of file SimpleHoughClusterer.h.

float SimpleHoughClusterer::getMeanScaleQuotient

(

)

const [private]

float SimpleHoughClusterer::getMeanTurnAngle

(

)

const [private]

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Member Data Documentation

std::vector< KeyPoint >* SimpleHoughClusterer::m_KeyPoints1 [private]

Definition at line 76 of file SimpleHoughClusterer.h.

std::vector< KeyPoint >* SimpleHoughClusterer::m_KeyPoints2 [private]

objectImagePoints

Definition at line 78 of file SimpleHoughClusterer.h.

std::ostringstream SimpleHoughClusterer::m_Log [private]

Definition at line 82 of file SimpleHoughClusterer.h.

std::list< KeyPointMatch > SimpleHoughClusterer::m_Matches [private]

Definition at line 80 of file SimpleHoughClusterer.h.

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

• SimpleHoughClusterer.h