boofcv.abst.geo.f

Class WrapEssentialNister5

java.lang.Object

boofcv.abst.geo.f.WrapEssentialNister5

All Implemented Interfaces:

EstimateNofEpipolar, GeoModelEstimatorN<org.ejml.data.DenseMatrix64F,AssociatedPair>

public class WrapEssentialNister5
extends java.lang.Object
implements EstimateNofEpipolar

Wrapper around either EssentialNister5 for EstimateNofEpipolar.

Constructor Summary

Constructors

Constructor and Description
WrapEssentialNister5()

Method Summary

Modifier and Type	Method and Description
int	getMinimumPoints() Minimum number of points required to estimate the model.
boolean	process(java.util.List<AssociatedPair> points, org.ddogleg.struct.FastQueue<org.ejml.data.DenseMatrix64F> 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 Detail

WrapEssentialNister5

public WrapEssentialNister5()

Method Detail

process

public boolean process(java.util.List<AssociatedPair> points,
                       org.ddogleg.struct.FastQueue<org.ejml.data.DenseMatrix64F> estimatedModels)

Description copied from interface: GeoModelEstimatorN

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.

Specified by:

process in interface GeoModelEstimatorN<org.ejml.data.DenseMatrix64F,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<org.ejml.data.DenseMatrix64F,AssociatedPair>

Returns:

Minimum number of points.