Package boofcv.abst.geo.f

Class WrapFundamentalLinear7

java.lang.Object

boofcv.abst.geo.f.WrapFundamentalLinear7

All Implemented Interfaces:

EstimateNofEpipolar, GeoModelEstimatorN<DMatrixRMaj,AssociatedPair>

public class WrapFundamentalLinear7
extends Object
implements EstimateNofEpipolar

Wrapper around either FundamentalLinear7 for EstimateNofEpipolar.

Constructor Summary

Constructors

Constructor	Description
WrapFundamentalLinear7(boolean fundamental)

Method Summary

Modifier and Type	Method	Description
FundamentalLinear7	getAlgorithm()
int	getMinimumPoints()	Minimum number of points required to estimate the model.
boolean	process(List<AssociatedPair> points, DogArray<DMatrixRMaj> estimatedModels)	Estimates a set of models which fit the given a set of observations.

Methods inherited from class java.lang.Object

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

Constructor Details

WrapFundamentalLinear7

public WrapFundamentalLinear7(boolean fundamental)

Method Details

process

public boolean process(List<AssociatedPair> points,
 DogArray<DMatrixRMaj> estimatedModels)

Description copied from interface: GeoModelEstimatorN

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

Specified by:

process in interface GeoModelEstimatorN<DMatrixRMaj,AssociatedPair>

Parameters:

points - Input: Set of observations. Not modified.

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

Returns:

true if successful

getMinimumPoints

public int getMinimumPoints()

Description copied from interface: GeoModelEstimatorN

Minimum number of points required to estimate the model.

Specified by:

getMinimumPoints in interface GeoModelEstimatorN<DMatrixRMaj,AssociatedPair>

Returns:

Minimum number of points.

getAlgorithm

public FundamentalLinear7 getAlgorithm()