Package org.ddogleg.fitting.modelset.ransac

Class Ransac_MT<Model,Point>

java.lang.Object

org.ddogleg.fitting.modelset.ransac.Ransac<Model,Point>

org.ddogleg.fitting.modelset.ransac.Ransac_MT<Model,Point>

All Implemented Interfaces:

InlierThreshold, ModelMatcher<Model,Point>, ModelMatcherPost<Model,Point>

public class Ransac_MT<Model,Point>
extends Ransac<Model,Point>

Concurrent implementation of Ransac. It will produce identical results when given the same seed.

Nested Class Summary

Nested classes/interfaces inherited from class org.ddogleg.fitting.modelset.ransac.Ransac

Ransac.InitializeModels<Model,Point>, Ransac.TrialHelper

Field Summary

Fields inherited from class org.ddogleg.fitting.modelset.ransac.Ransac

helper, initializeModels, masterModelManager, maxIterations, randSeed, sampleSize, thresholdFit, trialRNG

Constructor Summary

Constructors

Constructor	Description
Ransac_MT(long randSeed, int maxIterations, double thresholdFit, ModelManager<Model> modelManager, Class<Point> pointType)

Method Summary

Modifier and Type	Method	Description
boolean	process(List<Point> dataSet)	Finds a set of points from the provided list that are a good fit for the internal model and computes the fit parameters for the model.
void	setModel(Factory<ModelGenerator<Model,Point>> factoryGenerator, Factory<DistanceFromModel<Model,Point>> factoryDistance)	Specifies the internal model.

Methods inherited from class org.ddogleg.fitting.modelset.ransac.Ransac

addSelect, checkTrialGenerators, getFitQuality, getInputIndex, getMatchSet, getMaxIterations, getMinimumSize, getModelParameters, getModelType, getPointType, getThresholdFit, randomDraw, randomDraw, reset, setMaxIterations, setSampleSize, setThresholdFit

Methods inherited from class java.lang.Object

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

Constructor Details

Ransac_MT

public Ransac_MT(long randSeed,
 int maxIterations,
 double thresholdFit,
 ModelManager<Model> modelManager,
 Class<Point> pointType)

Method Details

process

public boolean process(List<Point> dataSet)

Description copied from interface: ModelMatcher

Finds a set of points from the provided list that are a good fit for the internal model and computes the fit parameters for the model.

Specified by:

process in interface ModelMatcher<Model,Point>

Overrides:

process in class Ransac<Model,Point>

Parameters:

dataSet - Set of points (with noise) that are to be fit.

Returns:

true if it successfully found a solution or false if not.

setModel

public void setModel(Factory<ModelGenerator<Model,Point>> factoryGenerator,
 Factory<DistanceFromModel<Model,Point>> factoryDistance)

Description copied from interface: ModelMatcherPost

Specifies the internal model. Factories are provided since each thread might need its own unique instance of the generator and distance function if they are not thread safe.

Specified by:

setModel in interface ModelMatcherPost<Model,Point>

Overrides:

setModel in class Ransac<Model,Point>

Parameters:

factoryGenerator - ModelGenerator

factoryDistance - DistanceFromModel