boofcv.struct.geo

Interface GeoModelEstimatorN<Model,Sample>

All Known Subinterfaces:

EstimateNofEpipolar, EstimateNofPnP

All Known Implementing Classes:

Estimate1toNofEpipolar, Estimate1toNofPnP, GeoModelEstimator1toN, WrapEssentialNister5, WrapFundamentalLinear7, WrapP3PLineDistance

public interface GeoModelEstimatorN<Model,Sample>

Creates multiple hypotheses for the parameters in a model a set of sample points/observations.

Author:

Peter Abeles

Method Summary

Methods

Modifier and Type	Method and Description
int	getMinimumPoints() Minimum number of points required to estimate the model.
boolean	process(List<Sample> points, org.ddogleg.struct.FastQueue<Model> estimatedModels) Estimates a set of models which fit the given a set of observations.

Method Detail

process

boolean process(List<Sample> points,
              org.ddogleg.struct.FastQueue<Model> estimatedModels)

Estimates a set of models which fit the given a set of observations. A FastQueue is used to store the found models. Each time this function is invoked 'estimatedModels' is reset and new models are requested using the FastQueue.pop() function.

Parameters:

points - Input: Set of observations. Not modified.

estimatedModels - Output: Storage for the set of estimated models. Modified.

Returns:

true if successful

getMinimumPoints

int getMinimumPoints()

Minimum number of points required to estimate the model.

Returns:

Minimum number of points.