boofcv.factory.feature.detect.interest

Class FactoryInterestPoint

java.lang.Object

boofcv.factory.feature.detect.interest.FactoryInterestPoint

public class FactoryInterestPoint
extends java.lang.Object

Factory for creating interest point detectors which conform to the InterestPointDetector interface

NOTE: Higher level interface than GeneralFeatureDetector. This will automatically compute image derivatives across scale space as needed, unlike GeneralFeatureDetector which just detects features at a particular scale and requires image derivatives be passed in.

See Also:

FactoryFeatureExtractor

Constructor Summary

Constructors

Constructor and Description
FactoryInterestPoint()

Method Summary

Modifier and Type	Method and Description
static <T extends ImageGray> InterestPointDetector<T>	fastHessian(ConfigFastHessian config) Creates a FastHessianFeatureDetector detector which is wrapped inside an InterestPointDetector
static <T extends ImageGray> InterestPointDetector<T>	sift(ConfigSiftScaleSpace configSS, ConfigSiftDetector configDet, java.lang.Class<T> imageType)
static <T extends ImageGray,D extends ImageGray> InterestPointDetector<T>	wrapDetector(FeatureLaplacePyramid<T,D> feature, double[] scales, boolean pyramid, java.lang.Class<T> inputType) Wraps FeatureLaplacePyramid inside an InterestPointDetector.
static <T extends ImageGray,D extends ImageGray> InterestPointDetector<T>	wrapDetector(FeaturePyramid<T,D> feature, double[] scales, boolean pyramid, java.lang.Class<T> inputType) Wraps FeaturePyramid inside an InterestPointDetector.
static <T extends ImageGray,D extends ImageGray> InterestPointDetector<T>	wrapPoint(GeneralFeatureDetector<T,D> feature, double scale, java.lang.Class<T> inputType, java.lang.Class<D> derivType) Wraps GeneralFeatureDetector inside an InterestPointDetector.

Methods inherited from class java.lang.Object

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

Constructor Detail

FactoryInterestPoint

public FactoryInterestPoint()

Method Detail

wrapPoint

public static <T extends ImageGray,D extends ImageGray> InterestPointDetector<T> wrapPoint(GeneralFeatureDetector<T,D> feature,
                                                                                           double scale,
                                                                                           java.lang.Class<T> inputType,
                                                                                           java.lang.Class<D> derivType)

Wraps GeneralFeatureDetector inside an InterestPointDetector.

Parameters:

feature - Feature detector.

scale - Scale of detected features

inputType - Image type of input image.

derivType - Image type for gradient.

Returns:

The interest point detector.

wrapDetector

public static <T extends ImageGray,D extends ImageGray> InterestPointDetector<T> wrapDetector(FeatureLaplacePyramid<T,D> feature,
                                                                                              double[] scales,
                                                                                              boolean pyramid,
                                                                                              java.lang.Class<T> inputType)

Wraps FeatureLaplacePyramid inside an InterestPointDetector.

Parameters:

feature - Feature detector.

scales - Scales at which features are detected at.

pyramid - Should it be constructed as a pyramid or scale-space

inputType - Image type of input image.

Returns:

The interest point detector.

wrapDetector

public static <T extends ImageGray,D extends ImageGray> InterestPointDetector<T> wrapDetector(FeaturePyramid<T,D> feature,
                                                                                              double[] scales,
                                                                                              boolean pyramid,
                                                                                              java.lang.Class<T> inputType)

Wraps FeaturePyramid inside an InterestPointDetector.

Parameters:

feature - Feature detector.

scales - Scales at which features are detected at.

pyramid - Should it be constructed as a pyramid or scale-space

inputType - Image type of input image.

Returns:

The interest point detector.

fastHessian

public static <T extends ImageGray> InterestPointDetector<T> fastHessian(ConfigFastHessian config)

Creates a FastHessianFeatureDetector detector which is wrapped inside an InterestPointDetector

Parameters:

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

Returns:

The interest point detector.

See Also:

FastHessianFeatureDetector

sift

public static <T extends ImageGray> InterestPointDetector<T> sift(ConfigSiftScaleSpace configSS,
                                                                  ConfigSiftDetector configDet,
                                                                  java.lang.Class<T> imageType)