org.openimaj.math.model.fit

Interface RobustModelFitting<I,D,M extends Model<I,D>>

Type Parameters:

I - type of independent data

D - type of dependent data

M - concrete type of model learned

All Superinterfaces:

ModelFitting<I,D,M>

All Known Implementing Classes:

LMedS, RANSAC, RobustAffineTransformEstimator, RobustFundamentalEstimator, RobustHomographyEstimator, SimpleModelFitting

public interface RobustModelFitting<I,D,M extends Model<I,D>>
extends ModelFitting<I,D,M>

RobustModelFitting is an interface for fitting models that are able to distinguish between inliers and outliers in the training data.

Author:

Jonathon Hare

Method Summary

Modifier and Type	Method and Description
List<? extends IndependentPair<I,D>>	getInliers()
List<? extends IndependentPair<I,D>>	getOutliers()

Methods inherited from interface org.openimaj.math.model.fit.ModelFitting

fitData, getModel, numItemsToEstimate

Method Detail

getInliers

List<? extends IndependentPair<I,D>> getInliers()

Returns:

list of the inliers in the original data

getOutliers

List<? extends IndependentPair<I,D>> getOutliers()

Returns:

list of the outliers in the original data