Package net.preibisch.mvrecon.process.interestpointregistration.pairwise.methods.geometrichashing

Class GeometricHasher<I extends InterestPoint>

java.lang.Object

net.preibisch.mvrecon.process.interestpointregistration.pairwise.methods.geometrichashing.GeometricHasher<I>

public class GeometricHasher<I extends InterestPoint>
extends Object

Class that actually computes the geometric hashing

Author:

Stephan Preibisch (stephan.preibisch@gmx.de)

Constructor Summary

Constructors

Constructor	Description
GeometricHasher()

Method Summary

Modifier and Type	Method	Description
protected void	computeMatching(ArrayList<LocalCoordinateSystemPointDescriptor<I>> descriptors1, net.imglib2.neighborsearch.KNearestNeighborSearchOnKDTree<LocalCoordinateSystemPointDescriptor<I>> nnsearch2, ArrayList<PointMatchGeneric<I>> correspondences, double differenceThreshold, double ratioOfDistance)
static <I extends InterestPoint> ArrayList<LocalCoordinateSystemPointDescriptor<I>>	createLocalCoordinateSystemPointDescriptors(net.imglib2.KDTree<I> tree, Collection<I> basisPoints, int redundancy, boolean normalize)
ArrayList<PointMatchGeneric<I>>	extractCorrespondenceCandidates(ArrayList<I> nodeListA, ArrayList<I> nodeListB, double differenceThreshold, int redundancy, double ratioOfDistance)

Methods inherited from class java.lang.Object

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

Constructor Details

GeometricHasher

public GeometricHasher()

Method Details

extractCorrespondenceCandidates

public ArrayList<PointMatchGeneric<I>> extractCorrespondenceCandidates(ArrayList<I> nodeListA,
 ArrayList<I> nodeListB,
 double differenceThreshold,
 int redundancy,
 double ratioOfDistance)

computeMatching

protected void computeMatching(ArrayList<LocalCoordinateSystemPointDescriptor<I>> descriptors1,
 net.imglib2.neighborsearch.KNearestNeighborSearchOnKDTree<LocalCoordinateSystemPointDescriptor<I>> nnsearch2,
 ArrayList<PointMatchGeneric<I>> correspondences,
 double differenceThreshold,
 double ratioOfDistance)

createLocalCoordinateSystemPointDescriptors

public static <I extends InterestPoint>
ArrayList<LocalCoordinateSystemPointDescriptor<I>> createLocalCoordinateSystemPointDescriptors(net.imglib2.KDTree<I> tree,
 Collection<I> basisPoints,
 int redundancy,
 boolean normalize)