edu.stanford.rsl.conrad.fitting

Class RANSACFittedFunction

java.lang.Object

edu.stanford.rsl.conrad.fitting.Function

edu.stanford.rsl.conrad.fitting.RANSACFittedFunction

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

ConstrainedRANSACFittedFunction

public class RANSACFittedFunction
extends Function

This class implements a version of RANSAC that generates numberOfTries tries to generate the model that best fits the correspondences in x and y. The algorithm chooses the model that has the best model fitness, i.e., the model that matches the best to the data. A correct match is counted if the distance computed between model and real data is less than epsilon.
If no model could be determined, epsilon is increased by a factor of ten and a warning is given.

Author:

akmaier

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RANSACFittedFunction(Function func)

Method Summary

Methods

Modifier and Type	Method and Description
double	evaluate(double x) Evaluates the function at position x
void	fitToPoints(double[] x, double[] y) Fits the function to the given input data
Function	getBaseFunction()
double	getEpsilon()
int	getMinimumNumberOfCorrespondences()
int	getNumberOfTries()
double[]	getParametersAsDoubleArray()
void	setBaseFunction(Function baseFunction)
void	setEpsilon(double epsilon)
void	setNumberOfTries(int numberOfTries)
java.lang.String	toString()

Methods inherited from class edu.stanford.rsl.conrad.fitting.Function

fitToPoints, getAvailableFunctions, getNumberOfParameters

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

RANSACFittedFunction

public RANSACFittedFunction(Function func)

Method Detail

fitToPoints

public void fitToPoints(double[] x,
               double[] y)

Description copied from class: Function

Fits the function to the given input data

Specified by:

fitToPoints in class Function

Parameters:

x - the input data

y - the output data

evaluate

public double evaluate(double x)

Description copied from class: Function

Evaluates the function at position x

Specified by:

evaluate in class Function

Parameters:

x - the position

Returns:

the output value

toString

public java.lang.String toString()

Specified by:

toString in class Function

getMinimumNumberOfCorrespondences

public int getMinimumNumberOfCorrespondences()

Specified by:

getMinimumNumberOfCorrespondences in class Function

setBaseFunction

public void setBaseFunction(Function baseFunction)

Parameters:

baseFunction - the baseFunction to set

getBaseFunction

public Function getBaseFunction()

Returns:

the baseFunction

setNumberOfTries

public void setNumberOfTries(int numberOfTries)

Parameters:

numberOfTries - the numberOfTries to set

getNumberOfTries

public int getNumberOfTries()

Returns:

the numberOfTries

getEpsilon

public double getEpsilon()

Returns:

the epsilon

setEpsilon

public void setEpsilon(double epsilon)

Parameters:

epsilon - the epsilon to set

getParametersAsDoubleArray

public double[] getParametersAsDoubleArray()

Specified by:

getParametersAsDoubleArray in class Function