boofcv.factory.feature.detect.intensity

Class FactoryIntensityPointAlg

java.lang.Object

boofcv.factory.feature.detect.intensity.FactoryIntensityPointAlg

public class FactoryIntensityPointAlg
extends java.lang.Object

Factory for creating various types of interest point intensity algorithms.

See Also:

FactoryIntensityPoint

Constructor Summary

Constructors

Constructor and Description
FactoryIntensityPointAlg()

Method Summary

Modifier and Type	Method and Description
static <T extends boofcv.struct.image.ImageGray> FastCornerIntensity<T>	fast(int pixelTol, int minCont, java.lang.Class<T> imageType) Common interface for creating a FastCornerIntensity from different image types.
static <D extends boofcv.struct.image.ImageGray> HarrisCornerIntensity<D>	harris(int windowRadius, float kappa, boolean weighted, java.lang.Class<D> derivType) Common interface for creating a HarrisCornerIntensity from different image types.
static <D extends boofcv.struct.image.ImageGray> ShiTomasiCornerIntensity<D>	shiTomasi(int windowRadius, boolean weighted, java.lang.Class<D> derivType) Common interface for creating a ShiTomasiCornerIntensity from different image types.

Methods inherited from class java.lang.Object

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

Constructor Detail

FactoryIntensityPointAlg

public FactoryIntensityPointAlg()

Method Detail

fast

public static <T extends boofcv.struct.image.ImageGray> FastCornerIntensity<T> fast(int pixelTol,
                                                                                    int minCont,
                                                                                    java.lang.Class<T> imageType)

Common interface for creating a FastCornerIntensity from different image types.

Parameters:

pixelTol - How different pixels need to be to be considered part of a corner. Image dependent. Try 20 to start.

minCont - Minimum number of continue pixels in a circle for it ot be a corner. Can be 9,10,11 or 12.

imageType - Type of input image it is computed form.

Returns:

Fast corner

harris

public static <D extends boofcv.struct.image.ImageGray> HarrisCornerIntensity<D> harris(int windowRadius,
                                                                                        float kappa,
                                                                                        boolean weighted,
                                                                                        java.lang.Class<D> derivType)

Common interface for creating a HarrisCornerIntensity from different image types.

Parameters:

windowRadius - Size of the feature it is detects,Try 2.

kappa - Tuning parameter, typically a small number around 0.04

weighted - Is the gradient weighted using a Gaussian distribution? Weighted is much slower than unweighted.

derivType - Image derivative type it is computed from. @return Harris corner

shiTomasi

public static <D extends boofcv.struct.image.ImageGray> ShiTomasiCornerIntensity<D> shiTomasi(int windowRadius,
                                                                                              boolean weighted,
                                                                                              java.lang.Class<D> derivType)

Common interface for creating a ShiTomasiCornerIntensity from different image types.

Parameters:

windowRadius - Size of the feature it detects, Try 2.

weighted - Should the it be weighted by a Gaussian kernel? Unweighted is much faster.

derivType - Image derivative type it is computed from.

Returns:

KLT corner