boofcv.alg.feature.detect.interest

Class FeatureLaplacePyramid<T extends ImageGray,D extends ImageGray>

java.lang.Object

boofcv.alg.feature.detect.interest.FeatureLaplacePyramid<T,D>

All Implemented Interfaces:

InterestPointScaleSpacePyramid<T>

public class FeatureLaplacePyramid<T extends ImageGray,D extends ImageGray>
extends java.lang.Object
implements InterestPointScaleSpacePyramid<T>

Feature detector across image pyramids that uses the Laplacian to determine strength in scale-space.

COMMENT ON SCALEPOWER: To normalize feature intensity across scales each feature intensity is multiplied by the scale to the power of 'scalePower'. See [1,2] for how to compute 'scalePower'. Inside of the image pyramid sub-sampling of the image causes the image gradient to be a factor of 'scale' larger than it would be without sub-sampling. In some situations this can negate the need to adjust feature intensity further.

[1] Krystian Mikolajczyk and Cordelia Schmid, "Indexing based on scale invariant interest points" ICCV 2001. Proceedings.
[2] Lindeberg, T., "Feature detection with automatic scale selection." IJCV 30(2) (1998) 79 – 116

See Also:

FactoryInterestPoint

Constructor Summary

Constructors

Constructor and Description
FeatureLaplacePyramid(GeneralFeatureDetector<T,D> detector, ImageFunctionSparse<T> sparseLaplace, AnyImageDerivative<T,D> computeDerivative, double scalePower) Create a feature detector.

Method Summary

Modifier and Type	Method and Description
void	detect(PyramidFloat<T> ss) Searches for features inside the provided scale space
java.util.List<ScalePoint>	getInterestPoints() Returns all the found interest points

Methods inherited from class java.lang.Object

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

Constructor Detail

FeatureLaplacePyramid

public FeatureLaplacePyramid(GeneralFeatureDetector<T,D> detector,
                             ImageFunctionSparse<T> sparseLaplace,
                             AnyImageDerivative<T,D> computeDerivative,
                             double scalePower)

Create a feature detector.

Parameters:

detector - Point feature detector which is used to find candidates in each scale level

sparseLaplace - Used to compute the Laplacian at each candidates

computeDerivative - Used to compute image derivatives

scalePower - Used to normalize features intensity across scale space. For many features this value should be one.

Method Detail

detect

public void detect(PyramidFloat<T> ss)

Searches for features inside the provided scale space

Specified by:

detect in interface InterestPointScaleSpacePyramid<T extends ImageGray>

Parameters:

ss - Scale space of an image

getInterestPoints

public java.util.List<ScalePoint> getInterestPoints()

Description copied from interface: InterestPointScaleSpacePyramid

Returns all the found interest points

Specified by:

getInterestPoints in interface InterestPointScaleSpacePyramid<T extends ImageGray>

Returns:

List of found interest points.