Package net.preibisch.mvrecon.process.pointcloud.pointdescriptor.matcher

Class ModelPriorMatcher

java.lang.Object

net.preibisch.mvrecon.process.pointcloud.pointdescriptor.matcher.SimpleMatcher

net.preibisch.mvrecon.process.pointcloud.pointdescriptor.matcher.ModelPriorMatcher

All Implemented Interfaces:

Matcher

public class ModelPriorMatcher
extends SimpleMatcher

This class does a simple matching but computes a normalizationFactor based a given model prior.

Author:

Stephan Preibisch (preibisch@mpi-cbg.de)

Constructor Summary

Constructors

Constructor	Description
ModelPriorMatcher(int numNeighbors, mpicbg.models.RigidModel3D model)

Method Summary

Modifier and Type	Method	Description
double	getNormalizationFactor(ArrayList<mpicbg.models.PointMatch> matches, Object fitResult)	Computes a normalization factor for the case that the different set of PointMatches are not comparable (for example number of neighbors used is not constant)

Methods inherited from class net.preibisch.mvrecon.process.pointcloud.pointdescriptor.matcher.SimpleMatcher

createCandidates, getRequiredNumNeighbors

Methods inherited from class java.lang.Object

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

Constructor Details

ModelPriorMatcher

public ModelPriorMatcher(int numNeighbors,
 mpicbg.models.RigidModel3D model)

Method Details

getNormalizationFactor

public double getNormalizationFactor(ArrayList<mpicbg.models.PointMatch> matches,
 Object fitResult)

Description copied from interface: Matcher

Computes a normalization factor for the case that the different set of PointMatches are not comparable (for example number of neighbors used is not constant)

Specified by:

getNormalizationFactor in interface Matcher

Overrides:

getNormalizationFactor in class SimpleMatcher

Parameters:

matches - the set of PointMatches

fitResult - - potential data needed to compute it

Returns:

The normalization factor for a certain set of PointMatches