Package boofcv.alg.feature.detect.intensity.impl

Class ImplIntegralImageFeatureIntensity

java.lang.Object

boofcv.alg.feature.detect.intensity.impl.ImplIntegralImageFeatureIntensity

@Generated("boofcv.alg.feature.detect.intensity.impl.GenerateImplIntegralImageFeatureIntensity")
public class ImplIntegralImageFeatureIntensity
extends Object

Routines for computing the intensity of the fast hessian features in an image.

DO NOT MODIFY. Automatically generated code created by GenerateImplIntegralImageFeatureIntensity

Constructor Summary

Constructors

Constructor	Description
ImplIntegralImageFeatureIntensity()

Method Summary

Modifier and Type	Method	Description
static void	computeHessian(GrayF32 integral, GrayF32 intensity, IntegralKernel kerXX, IntegralKernel kerYY, IntegralKernel kerXY, float norm, int y, int yy, int x, int xx)
static void	computeHessian(GrayS32 integral, GrayF32 intensity, IntegralKernel kerXX, IntegralKernel kerYY, IntegralKernel kerXY, float norm, int y, int yy, int x, int xx)
static void	hessianBorder(GrayF32 integral, int skip, int size, GrayF32 intensity, @Nullable IntegralKernel storageKerXX, @Nullable IntegralKernel storageKerYY, @Nullable IntegralKernel storageKerXY)	Only computes the fast hessian along the border using a brute force approach
static void	hessianBorder(GrayS32 integral, int skip, int size, GrayF32 intensity, @Nullable IntegralKernel storageKerXX, @Nullable IntegralKernel storageKerYY, @Nullable IntegralKernel storageKerXY)	Only computes the fast hessian along the border using a brute force approach
static void	hessianInner(GrayF32 integral, int skip, int size, GrayF32 intensity)	Optimizes intensity for the inner image.
static void	hessianInner(GrayS32 integral, int skip, int size, GrayF32 intensity)	Optimizes intensity for the inner image.
static void	hessianNaive(GrayF32 integral, int skip, int size, GrayF32 intensity)	Brute force approach which is easy to validate through visual inspection.
static void	hessianNaive(GrayS32 integral, int skip, int size, GrayF32 intensity)	Brute force approach which is easy to validate through visual inspection.

Methods inherited from class java.lang.Object

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

Constructor Details

ImplIntegralImageFeatureIntensity

public ImplIntegralImageFeatureIntensity()

Method Details

hessianNaive

public static void hessianNaive(GrayF32 integral,
 int skip,
 int size,
 GrayF32 intensity)

Brute force approach which is easy to validate through visual inspection.

hessianBorder

public static void hessianBorder(GrayF32 integral,
 int skip,
 int size,
 GrayF32 intensity,
 @Nullable
 @Nullable IntegralKernel storageKerXX,
 @Nullable
 @Nullable IntegralKernel storageKerYY,
 @Nullable
 @Nullable IntegralKernel storageKerXY)

Only computes the fast hessian along the border using a brute force approach

computeHessian

public static void computeHessian(GrayF32 integral,
 GrayF32 intensity,
 IntegralKernel kerXX,
 IntegralKernel kerYY,
 IntegralKernel kerXY,
 float norm,
 int y,
 int yy,
 int x,
 int xx)

hessianInner

public static void hessianInner(GrayF32 integral,
 int skip,
 int size,
 GrayF32 intensity)

Optimizes intensity for the inner image.

hessianNaive

public static void hessianNaive(GrayS32 integral,
 int skip,
 int size,
 GrayF32 intensity)

Brute force approach which is easy to validate through visual inspection.

hessianBorder

public static void hessianBorder(GrayS32 integral,
 int skip,
 int size,
 GrayF32 intensity,
 @Nullable
 @Nullable IntegralKernel storageKerXX,
 @Nullable
 @Nullable IntegralKernel storageKerYY,
 @Nullable
 @Nullable IntegralKernel storageKerXY)

Only computes the fast hessian along the border using a brute force approach

computeHessian

public static void computeHessian(GrayS32 integral,
 GrayF32 intensity,
 IntegralKernel kerXX,
 IntegralKernel kerYY,
 IntegralKernel kerXY,
 float norm,
 int y,
 int yy,
 int x,
 int xx)

hessianInner

public static void hessianInner(GrayS32 integral,
 int skip,
 int size,
 GrayF32 intensity)

Optimizes intensity for the inner image.