org.ddogleg.fitting.modelset

Interface ModelMatcher<Model,Point>

Type Parameters:

Model - Type of model being fitted.

Point - Type of data point being fitted.

All Known Subinterfaces:

ModelMatcherMulti<Point>

All Known Implementing Classes:

LeastMedianOfSquares, MultipleToSingle, Ransac, RansacMulti, StatisticalDistanceModelMatcher

public interface ModelMatcher<Model,Point>

Given a set of points and it finds a set of model parameters which fit the data robustly. Some of the points are assumed to be noise and are pruned. The set of points which fit the found parameters and their index in the input list are returned.

Method Summary

Modifier and Type	Method and Description
double	getFitQuality() Returns the metric used to evaluate the quality of fit.
int	getInputIndex(int matchIndex) For an item in the match set, return the index of the item in the original input set.
java.util.List<Point>	getMatchSet() A set of points which match the provided parameters.
int	getMinimumSize() This is the minimum number of observations which can be input and produce a valid model.
Model	getModelParameters() Model for the match set
boolean	process(java.util.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.

Method Detail

process

boolean process(java.util.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.

Parameters:

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

Returns:

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

getModelParameters

Model getModelParameters()

Model for the match set

Returns:

model.

getMatchSet

java.util.List<Point> getMatchSet()

A set of points which match the provided parameters.

Returns:

List of points in the match set.

getInputIndex

int getInputIndex(int matchIndex)

For an item in the match set, return the index of the item in the original input set.

Parameters:

matchIndex - Index of an element in the match set.

Returns:

Index of the same element in the original input list.

getFitQuality

double getFitQuality()

Returns the metric used to evaluate the quality of fit. Meaning is implementation specific. Larger or smaller values could be preferred depending on implementation..

Returns:

Quality of fit to matched set of points

getMinimumSize

int getMinimumSize()

This is the minimum number of observations which can be input and produce a valid model.

Returns:

Minimum number of sample points