boofcv.factory.feature.detect.interest

Class FactoryInterestPointAlgs

java.lang.Object

boofcv.factory.feature.detect.interest.FactoryInterestPointAlgs

public class FactoryInterestPointAlgs
extends java.lang.Object

Factory for non-generic specific implementations of interest point detection algorithms.

Constructor Summary

Constructors

Constructor and Description
FactoryInterestPointAlgs()

Method Summary

Modifier and Type	Method and Description
static <II extends ImageGray> FastHessianFeatureDetector<II>	fastHessian(ConfigFastHessian config) Creates a Fast Hessian blob detector used by SURF.
static <T extends ImageGray,D extends ImageGray> FeatureLaplacePyramid<T,D>	harrisLaplace(int extractRadius, float detectThreshold, int maxFeatures, java.lang.Class<T> imageType, java.lang.Class<D> derivType) Creates a FeatureLaplacePyramid which is uses the Harris corner detector.
static <T extends ImageGray,D extends ImageGray> FeaturePyramid<T,D>	harrisPyramid(int extractRadius, float detectThreshold, int maxFeatures, java.lang.Class<T> imageType, java.lang.Class<D> derivType) Creates a FeaturePyramid which is uses the Harris corner detector.
static <T extends ImageGray,D extends ImageGray> FeatureLaplacePyramid<T,D>	hessianLaplace(int extractRadius, float detectThreshold, int maxFeatures, java.lang.Class<T> imageType, java.lang.Class<D> derivType) Creates a FeatureLaplacePyramid which is uses a hessian blob detector.
static <T extends ImageGray,D extends ImageGray> FeaturePyramid<T,D>	hessianPyramid(int extractRadius, float detectThreshold, int maxFeatures, java.lang.Class<T> imageType, java.lang.Class<D> derivType) Creates a FeaturePyramid which is uses a hessian blob detector.
static SiftDetector	sift(ConfigSiftScaleSpace configSS, ConfigSiftDetector configDetector) Creates a SIFT detector

Methods inherited from class java.lang.Object

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

Constructor Detail

FactoryInterestPointAlgs

public FactoryInterestPointAlgs()

Method Detail

hessianPyramid

public static <T extends ImageGray,D extends ImageGray> FeaturePyramid<T,D> hessianPyramid(int extractRadius,
                                                                                           float detectThreshold,
                                                                                           int maxFeatures,
                                                                                           java.lang.Class<T> imageType,
                                                                                           java.lang.Class<D> derivType)

Creates a FeaturePyramid which is uses a hessian blob detector.

Parameters:

extractRadius - Size of the feature used to detect the corners.

detectThreshold - Minimum corner intensity required

maxFeatures - Max number of features that can be found.

imageType - Type of input image.

derivType - Image derivative type.

Returns:

CornerLaplaceScaleSpace

harrisPyramid

public static <T extends ImageGray,D extends ImageGray> FeaturePyramid<T,D> harrisPyramid(int extractRadius,
                                                                                          float detectThreshold,
                                                                                          int maxFeatures,
                                                                                          java.lang.Class<T> imageType,
                                                                                          java.lang.Class<D> derivType)

Creates a FeaturePyramid which is uses the Harris corner detector.

Parameters:

extractRadius - Size of the feature used to detect the corners.

detectThreshold - Minimum corner intensity required

maxFeatures - Max number of features that can be found.

imageType - Type of input image.

derivType - Image derivative type.

Returns:

CornerLaplaceScaleSpace

hessianLaplace

public static <T extends ImageGray,D extends ImageGray> FeatureLaplacePyramid<T,D> hessianLaplace(int extractRadius,
                                                                                                  float detectThreshold,
                                                                                                  int maxFeatures,
                                                                                                  java.lang.Class<T> imageType,
                                                                                                  java.lang.Class<D> derivType)

Creates a FeatureLaplacePyramid which is uses a hessian blob detector.

Parameters:

extractRadius - Size of the feature used to detect the corners.

detectThreshold - Minimum corner intensity required

maxFeatures - Max number of features that can be found.

imageType - Type of input image.

derivType - Image derivative type.

Returns:

CornerLaplaceScaleSpace

harrisLaplace

public static <T extends ImageGray,D extends ImageGray> FeatureLaplacePyramid<T,D> harrisLaplace(int extractRadius,
                                                                                                 float detectThreshold,
                                                                                                 int maxFeatures,
                                                                                                 java.lang.Class<T> imageType,
                                                                                                 java.lang.Class<D> derivType)

Creates a FeatureLaplacePyramid which is uses the Harris corner detector.

Parameters:

extractRadius - Size of the feature used to detect the corners.

detectThreshold - Minimum corner intensity required

maxFeatures - Max number of features that can be found.

imageType - Type of input image.

derivType - Image derivative type.

Returns:

CornerLaplaceScaleSpace

fastHessian

public static <II extends ImageGray> FastHessianFeatureDetector<II> fastHessian(ConfigFastHessian config)

Creates a Fast Hessian blob detector used by SURF.

Type Parameters:

II - Integral Image

Parameters:

config - Configuration for detector. Pass in null for default options.

Returns:

The feature detector

sift

public static SiftDetector sift(ConfigSiftScaleSpace configSS,
                                ConfigSiftDetector configDetector)

Creates a SIFT detector