Package net.preibisch.mvrecon.process.interestpointregistration.pairwise.methods.icp

Class IterativeClosestPointParameters

java.lang.Object

net.preibisch.mvrecon.process.interestpointregistration.pairwise.methods.icp.IterativeClosestPointParameters

public class IterativeClosestPointParameters
extends Object

Field Summary

Fields

Modifier and Type	Field	Description
static double	defaultMaxEpsionRANSAC
static double	defaultMinInlierRatio
static int	defaultMinNumPoints
static int	defaultNumIterationsRANSAC
static boolean	defaultUseRANSAC
static double	maxDistance
static int	maxIterations

Constructor Summary

Constructors

Constructor	Description
IterativeClosestPointParameters(mpicbg.models.Model<?> model)
IterativeClosestPointParameters(mpicbg.models.Model<?> model, double maxDistance, int maxIterations, boolean useRANSAC, double minInlierRatio, double maxEpsilonRANSAC, int maxIterationsRANSAC, int minNumPoints)
IterativeClosestPointParameters(mpicbg.models.Model<?> model, IterativeClosestPointParameters p)

Method Summary

Modifier and Type	Method	Description
double	getMaxDistance()
double	getMaxEpsilonRANSAC()
int	getMaxIterationsRANSAC()
int	getMaxNumIterations()
double	getMinInlierRatio()
int	getMinNumPoints()
mpicbg.models.Model<?>	getModel()
boolean	useRANSAC()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

maxDistance

public static double maxDistance

maxIterations

public static int maxIterations

defaultUseRANSAC

public static boolean defaultUseRANSAC

defaultMaxEpsionRANSAC

public static double defaultMaxEpsionRANSAC

defaultNumIterationsRANSAC

public static int defaultNumIterationsRANSAC

defaultMinNumPoints

public static int defaultMinNumPoints

defaultMinInlierRatio

public static double defaultMinInlierRatio

Constructor Details

IterativeClosestPointParameters

public IterativeClosestPointParameters(mpicbg.models.Model<?> model,
 double maxDistance,
 int maxIterations,
 boolean useRANSAC,
 double minInlierRatio,
 double maxEpsilonRANSAC,
 int maxIterationsRANSAC,
 int minNumPoints)

IterativeClosestPointParameters

public IterativeClosestPointParameters(mpicbg.models.Model<?> model,
 IterativeClosestPointParameters p)

IterativeClosestPointParameters

public IterativeClosestPointParameters(mpicbg.models.Model<?> model)

Method Details

getModel

public mpicbg.models.Model<?> getModel()

getMaxDistance

public double getMaxDistance()

getMinInlierRatio

public double getMinInlierRatio()

getMaxNumIterations

public int getMaxNumIterations()

useRANSAC

public boolean useRANSAC()

getMaxEpsilonRANSAC

public double getMaxEpsilonRANSAC()

getMaxIterationsRANSAC

public int getMaxIterationsRANSAC()

getMinNumPoints

public int getMinNumPoints()