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

Class AbstractPointDescriptor<P extends mpicbg.models.Point,F extends AbstractPointDescriptor<P,F>>

java.lang.Object

net.preibisch.mvrecon.process.pointcloud.pointdescriptor.AbstractPointDescriptor<P,F>

Direct Known Subclasses:

LocalCoordinateSystemPointDescriptor, ModelPointDescriptor, SimplePointDescriptor, TranslationInvariantLocalCoordinateSystemPointDescriptor

public abstract class AbstractPointDescriptor<P extends mpicbg.models.Point,F extends AbstractPointDescriptor<P,F>>
extends Object

Field Summary

Fields

Modifier and Type	Field	Description
protected static final AtomicLong	index

Constructor Summary

Constructors

Constructor	Description
AbstractPointDescriptor(P basisPoint, ArrayList<P> orderedNearestNeighboringPoints, SimilarityMeasure similarityMeasure, Matcher matcher)

Method Summary

Modifier and Type	Method	Description
double	descriptorDistance(F pointDescriptor)	Matches two AbstractPointDescriptors of the same kind yielding a similarity value, the lower the better (0 means identical)
abstract Object	fitMatches(ArrayList<mpicbg.models.PointMatch> matches)	Computes a fit between this these PointMatches, this method is called by the Matcher
P	getBasisPoint()	The basis point for this descriptor
ArrayList<mpicbg.models.PointMatch>	getBestPointMatchSet()	The combination of descriptorpoints that yielded the best similarity in the last comparison
mpicbg.models.Point	getDescriptorPoint(int index)	Returns a certain nearest neighbor (relative to the basis point) of this AbstractPointDescriptor
long	getId()	Return the unique id of this descriptor
ArrayList<P>	getOrderedNearestNeighboringPoints()
SimilarityMeasure	getSimilarityMeasure()
int	numDimensions()	Dimensionality of the Points of this AbstractPointDescriptor
int	numNeighbors()	The number of neighbors used for this descriptor
protected void	resetWorldCoordinates()	Resets the world coordinates of the descriptorPoints
abstract boolean	resetWorldCoordinatesAfterMatching()	Tells if the descriptormatching should reset the world coordinates after the matching
void	setSimilarityMeasure(SimilarityMeasure similarityMeasure)	Sets the SimilarityMeasure object that is used to compute how similar two descriptors are
String	toString()	Overwrites the toString method
abstract boolean	useWorldCoordinatesForDescriptorBuildUp()	Tells if the build up of the descriptor should use the world coordinates or rather the local coordinates

Methods inherited from class java.lang.Object

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

Field Details

index

protected static final AtomicLong index

Constructor Details

AbstractPointDescriptor

public AbstractPointDescriptor(P basisPoint,
 ArrayList<P> orderedNearestNeighboringPoints,
 SimilarityMeasure similarityMeasure,
 Matcher matcher)
                        throws NoSuitablePointsException

Throws:

NoSuitablePointsException

Method Details

descriptorDistance

public double descriptorDistance(F pointDescriptor)

Matches two AbstractPointDescriptors of the same kind yielding a similarity value, the lower the better (0 means identical)

Parameters:

pointDescriptor - - the AbstractPointDescriptor to match

Returns:

similarity

getBestPointMatchSet

public ArrayList<mpicbg.models.PointMatch> getBestPointMatchSet()

The combination of descriptorpoints that yielded the best similarity in the last comparison

Returns:

- List of PointMatches containing the original datasets

resetWorldCoordinates

protected void resetWorldCoordinates()

Resets the world coordinates of the descriptorPoints

fitMatches

public abstract Object fitMatches(ArrayList<mpicbg.models.PointMatch> matches)

Computes a fit between this these PointMatches, this method is called by the Matcher

Parameters:

matches - - The Points to match

Returns:

- a transformation

resetWorldCoordinatesAfterMatching

public abstract boolean resetWorldCoordinatesAfterMatching()

Tells if the descriptormatching should reset the world coordinates after the matching

Returns:

if reseting world coordinates

useWorldCoordinatesForDescriptorBuildUp

public abstract boolean useWorldCoordinatesForDescriptorBuildUp()

Tells if the build up of the descriptor should use the world coordinates or rather the local coordinates

Returns:

- true (world), false(local)

getSimilarityMeasure

public SimilarityMeasure getSimilarityMeasure()

Returns:

The SimilarityMeasure object that is used to compute how similar two descriptors are

setSimilarityMeasure

public void setSimilarityMeasure(SimilarityMeasure similarityMeasure)

Sets the SimilarityMeasure object that is used to compute how similar two descriptors are

Parameters:

similarityMeasure - - which similarity measure

getId

public long getId()

Return the unique id of this descriptor

Returns:

long id

getBasisPoint

public P getBasisPoint()

The basis point for this descriptor

Returns:

the Point instance

getDescriptorPoint

public mpicbg.models.Point getDescriptorPoint(int index)

Returns a certain nearest neighbor (relative to the basis point) of this AbstractPointDescriptor

Parameters:

index - - the index (0 means first nearest neighbor)

Returns:

the Point instance

getOrderedNearestNeighboringPoints

public ArrayList<P> getOrderedNearestNeighboringPoints()

numNeighbors

public int numNeighbors()

The number of neighbors used for this descriptor

Returns:

- int number

numDimensions

public int numDimensions()

Dimensionality of the Points of this AbstractPointDescriptor

Returns:

- int dimensions

toString

public String toString()

Overwrites the toString method

Overrides:

toString in class Object