surf
Class Fast_Hessian

java.lang.Object
  surf.Fast_Hessian

All Implemented Interfaces:

Detector

public class Fast_Hessian
extends java.lang.Object
implements Detector

A standard implementation of the Detector interface. Fast_Hessian builds an Hessian Matrix for each different scale. Then it thresholds the results and performs a non-maximal suppression in order to localize the Interest Points in the scale space.

Author:

Alessandro Martini, Claudio Fantacci

Constructor Summary

Fast_Hessian(Integral_Image integralImage, int imgWidth, int imgHeight, float balanceValue, float threshold, int octaves, processing.core.PApplet parent)
Constructor of Fast_Hessian.

Method Summary

java.util.ArrayList<Interest_Point>

generateInterestPoints() Detects all the Interest Points in a given image and then returns them as an ArrayList.

Methods inherited from class java.lang.Object

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

Constructor Detail

Fast_Hessian

public Fast_Hessian(Integral_Image integralImage,
                    int imgWidth,
                    int imgHeight,
                    float balanceValue,
                    float threshold,
                    int octaves,
                    processing.core.PApplet parent)

Constructor of Fast_Hessian.

Parameters:

integralImage -

imgWidth -

imgHeight -

balanceValue - Value used to calculate the Laplacian of Gaussian response.

threshold - Value used to filter the Laplacian of Gaussian.

octaves - Number of octaves that you want to compute.

parent - PApplet where you display your video output.

Method Detail

generateInterestPoints

public java.util.ArrayList<Interest_Point> generateInterestPoints()

Description copied from interface: Detector

Detects all the Interest Points in a given image and then returns them as an ArrayList.

Specified by:

generateInterestPoints in interface Detector

Returns:

An ArrayList of Interest_Point