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

Class TranslationInvariantModel<M extends TranslationInvariantModel<M>>

java.lang.Object

mpicbg.models.AbstractModel<M>

net.preibisch.mvrecon.process.pointcloud.pointdescriptor.model.TranslationInvariantModel<M>

Type Parameters:

M - something that extends Model

All Implemented Interfaces:

Serializable, mpicbg.models.CoordinateTransform, mpicbg.models.Model<M>

Direct Known Subclasses:

FixedModel, TranslationInvariantAffineModel3D, TranslationInvariantFixedModel, TranslationInvariantRigidModel2D, TranslationInvariantRigidModel3D, TranslationInvariantSimilarityModel3D

public abstract class TranslationInvariantModel<M extends TranslationInvariantModel<M>>
extends mpicbg.models.AbstractModel<M>

This class is a subtle hint that Models which are used to fit AbstractPointDescriptors should be translation invariant.

Author:

Stephan Preibisch (preibisch@mpi-cbg.de)

See Also:

• Serialized Form

Field Summary

Fields inherited from class mpicbg.models.AbstractModel

cost, rnd

Constructor Summary

Constructors

Constructor	Description
TranslationInvariantModel()

Method Summary

Modifier and Type	Method	Description
abstract boolean	canDoNumDimension(int numDimensions)	The TranslationInvariantModel can tell which dimensions it supports.

Methods inherited from class mpicbg.models.AbstractModel

betterThan, filter, filter, filter, filterRansac, filterRansac, filterRansac, filterRansac, fit, fit, getCost, icp, localSmoothnessFilter, ransac, ransac, setCost, test, test

Methods inherited from class java.lang.Object

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

Methods inherited from interface mpicbg.models.CoordinateTransform

apply, applyInPlace

Methods inherited from interface mpicbg.models.Model

copy, fit, getMinNumMatches, set

Constructor Details

TranslationInvariantModel

public TranslationInvariantModel()

Method Details

canDoNumDimension

public abstract boolean canDoNumDimension(int numDimensions)

The TranslationInvariantModel can tell which dimensions it supports.

Parameters:

numDimensions - - The dimensionality (e.g. 3 means 3-dimensional)

Returns:

- If the TranslationInvariantModel supports that dimensionality