org.openimaj.image.feature.local.interest

Class AffineAdaption

java.lang.Object

org.openimaj.image.feature.local.interest.AffineAdaption

All Implemented Interfaces:

Cloneable, InterestPointDetector<EllipticInterestPointData>, MultiscaleInterestPointDetector<EllipticInterestPointData>

public class AffineAdaption
extends Object
implements MultiscaleInterestPointDetector<EllipticInterestPointData>

Using an underlying feature detector, adapt the ellipse detected to result in a more stable region according to work by http://www.robots.ox.ac.uk/~vgg/research/affine/

Author:

Sina Samangooei (ss@ecs.soton.ac.uk)

Constructor Summary

Constructors

Constructor and Description
AffineAdaption() instatiate with a HarrisIPD detector with scales 2.0f and 2.0f * 1.4f.
AffineAdaption(AbstractStructureTensorIPD internal, AbstractStructureTensorIPD initial, IPDSelectionMode initialSelectionMode) set both the internal and intitial feature detectors (possibly different settings of the same detector) and a selection mode
AffineAdaption(AbstractStructureTensorIPD internal, IPDSelectionMode initialSelectionMode) specify the internal detector and the selection mode

Method Summary

Modifier and Type	Method and Description
void	findInterestPoints(FImage image) Find the interest points in an image
void	findInterestPoints(FImage image, Rectangle window) Find the interest points in an image
List<EllipticInterestPointData>	getInterestPoints() Get all the interest points found.
List<EllipticInterestPointData>	getInterestPoints(float threshold) Retrieve the interest points found whose normalised score exceeds the threshold
List<EllipticInterestPointData>	getInterestPoints(int npoints) Retrieve the interest points found
static void	main(String[] args) an example run
void	setDetectionScale(float detectionScaleVariance) Set the detection scale for the detector
void	setFastDifferentiationScale(boolean b)
void	setIntegrationScale(float integrationScaleVariance)

Methods inherited from class java.lang.Object

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

Constructor Detail

AffineAdaption

public AffineAdaption()

instatiate with a HarrisIPD detector with scales 2.0f and 2.0f * 1.4f. Selection 100 points

AffineAdaption

public AffineAdaption(AbstractStructureTensorIPD internal,
                      IPDSelectionMode initialSelectionMode)

specify the internal detector and the selection mode

Parameters:

internal -

initialSelectionMode -

AffineAdaption

public AffineAdaption(AbstractStructureTensorIPD internal,
                      AbstractStructureTensorIPD initial,
                      IPDSelectionMode initialSelectionMode)

set both the internal and intitial feature detectors (possibly different settings of the same detector) and a selection mode

Parameters:

internal -

initial -

initialSelectionMode -

Method Detail

findInterestPoints

public void findInterestPoints(FImage image)

Description copied from interface: InterestPointDetector

Find the interest points in an image

Specified by:

findInterestPoints in interface InterestPointDetector<EllipticInterestPointData>

findInterestPoints

public void findInterestPoints(FImage image,
                               Rectangle window)

Description copied from interface: InterestPointDetector

Find the interest points in an image

Specified by:

findInterestPoints in interface InterestPointDetector<EllipticInterestPointData>

getInterestPoints

public List<EllipticInterestPointData> getInterestPoints(int npoints)

Description copied from interface: InterestPointDetector

Retrieve the interest points found

Specified by:

getInterestPoints in interface InterestPointDetector<EllipticInterestPointData>

Parameters:

npoints - number of interest points to retrieve, < 0 returns all

Returns:

interest points

getInterestPoints

public List<EllipticInterestPointData> getInterestPoints(float threshold)

Description copied from interface: InterestPointDetector

Retrieve the interest points found whose normalised score exceeds the threshold

Specified by:

getInterestPoints in interface InterestPointDetector<EllipticInterestPointData>

Parameters:

threshold - normalised threshold

Returns:

interest points

getInterestPoints

public List<EllipticInterestPointData> getInterestPoints()

Description copied from interface: InterestPointDetector

Get all the interest points found.

Specified by:

getInterestPoints in interface InterestPointDetector<EllipticInterestPointData>

Returns:

all interest points

setDetectionScale

public void setDetectionScale(float detectionScaleVariance)

Description copied from interface: MultiscaleInterestPointDetector

Set the detection scale for the detector

Specified by:

setDetectionScale in interface MultiscaleInterestPointDetector<EllipticInterestPointData>

Parameters:

detectionScaleVariance - the variance of the Gaussian

setIntegrationScale

public void setIntegrationScale(float integrationScaleVariance)

main

public static void main(String[] args)
                 throws IOException

an example run

Parameters:

args -

Throws:

IOException

setFastDifferentiationScale

public void setFastDifferentiationScale(boolean b)

Parameters:

b - whether the differencial scaling should be done iteratively (slow) or not (fast)