org.openimaj.feature.local.matcher

Class FastEuclideanKeypointMatcher<T extends Keypoint>

java.lang.Object

org.openimaj.feature.local.matcher.FastEuclideanKeypointMatcher<T>

Type Parameters:

T -

All Implemented Interfaces:

LocalFeatureMatcher<T>

public class FastEuclideanKeypointMatcher<T extends Keypoint>
extends Object
implements LocalFeatureMatcher<T>

Uses a ByteKDTree to estimate approximate nearest neighbours more efficiently.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk), Sina Samangooei (ss@ecs.soton.ac.uk)

Field Summary

Fields

Modifier and Type	Field and Description
protected List<Pair<T>>	matches

Constructor Summary

Constructors

Constructor and Description
FastEuclideanKeypointMatcher(int threshold)

Method Summary

Modifier and Type	Method and Description
boolean	findMatches(List<T> keys1) Attempt to find matches between the model features from the database, and given query features.
List<Pair<T>>	getMatches() Get the matches detected by the underlying algorithm
void	setModelFeatures(List<T> modelkeys) Set the features that represent the database to match queries against
void	setThreshold(int threshold) Set the matching threshold

Methods inherited from class java.lang.Object

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

Field Detail

matches

protected List<Pair<T extends Keypoint>> matches

Constructor Detail

FastEuclideanKeypointMatcher

public FastEuclideanKeypointMatcher(int threshold)

Parameters:

threshold - threshold for determining matching keypoints

Method Detail

setModelFeatures

public void setModelFeatures(List<T> modelkeys)

Description copied from interface: LocalFeatureMatcher

Set the features that represent the database to match queries against

Specified by:

setModelFeatures in interface LocalFeatureMatcher<T extends Keypoint>

Parameters:

modelkeys - database of features

findMatches

public boolean findMatches(List<T> keys1)

Description copied from interface: LocalFeatureMatcher

Attempt to find matches between the model features from the database, and given query features.

Specified by:

findMatches in interface LocalFeatureMatcher<T extends Keypoint>

Parameters:

keys1 - features from the query

Returns:

whether matches were found

getMatches

public List<Pair<T>> getMatches()

Description copied from interface: LocalFeatureMatcher

Get the matches detected by the underlying algorithm

Specified by:

getMatches in interface LocalFeatureMatcher<T extends Keypoint>

Returns:

the matches

setThreshold

public void setThreshold(int threshold)

Set the matching threshold

Parameters:

threshold - the threshold