boofcv.factory.feature.orientation

Class FactoryOrientationAlgs

java.lang.Object

boofcv.factory.feature.orientation.FactoryOrientationAlgs

public class FactoryOrientationAlgs
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
FactoryOrientationAlgs()

Method Summary

Modifier and Type	Method and Description
static <II extends ImageGray> OrientationIntegral<II>	average_ii(ConfigAverageIntegral config, java.lang.Class<II> integralType)
static <T extends ImageGray> OrientationAverage<T>	average(double objectToSample, int radius, boolean weighted, java.lang.Class<T> derivType)
static <T extends ImageGray> OrientationHistogram<T>	histogram(double objectToSample, int numAngles, int radius, boolean weighted, java.lang.Class<T> derivType)
static <II extends ImageGray> OrientationIntegral<II>	image_ii(double objectRadiusToScale, int sampleRadius, double samplePeriod, int sampleWidth, double weightSigma, java.lang.Class<II> integralImage) Estimates the orientation without calculating the image derivative.
static <T extends ImageGray> OrientationImageAverage<T>	nogradient(double objectToSample, int radius, java.lang.Class<T> imageType)
static <D extends ImageGray> OrientationHistogramSift<D>	sift(ConfigSiftOrientation config, java.lang.Class<D> derivType) Estimates multiple orientations as specified in SIFT paper.
static <II extends ImageGray> OrientationIntegral<II>	sliding_ii(ConfigSlidingIntegral config, java.lang.Class<II> integralType) Estimates the orientation of a region by using a sliding window across the different potential angles.
static <T extends ImageGray> OrientationSlidingWindow<T>	sliding(double objectRadiusToScale, int numAngles, double windowSize, int radius, boolean weighted, java.lang.Class<T> derivType)

Methods inherited from class java.lang.Object

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

Constructor Detail

FactoryOrientationAlgs

public FactoryOrientationAlgs()

Method Detail

histogram

public static <T extends ImageGray> OrientationHistogram<T> histogram(double objectToSample,
                                                                      int numAngles,
                                                                      int radius,
                                                                      boolean weighted,
                                                                      java.lang.Class<T> derivType)

nogradient

public static <T extends ImageGray> OrientationImageAverage<T> nogradient(double objectToSample,
                                                                          int radius,
                                                                          java.lang.Class<T> imageType)

average

public static <T extends ImageGray> OrientationAverage<T> average(double objectToSample,
                                                                  int radius,
                                                                  boolean weighted,
                                                                  java.lang.Class<T> derivType)

sliding

public static <T extends ImageGray> OrientationSlidingWindow<T> sliding(double objectRadiusToScale,
                                                                        int numAngles,
                                                                        double windowSize,
                                                                        int radius,
                                                                        boolean weighted,
                                                                        java.lang.Class<T> derivType)

average_ii

public static <II extends ImageGray> OrientationIntegral<II> average_ii(ConfigAverageIntegral config,
                                                                        java.lang.Class<II> integralType)

Parameters:

config - Configuration for algorithm.

integralType - Type of image being processed.

Returns:

OrientationIntegral

See Also:

ImplOrientationAverageGradientIntegral

image_ii

public static <II extends ImageGray> OrientationIntegral<II> image_ii(double objectRadiusToScale,
                                                                      int sampleRadius,
                                                                      double samplePeriod,
                                                                      int sampleWidth,
                                                                      double weightSigma,
                                                                      java.lang.Class<II> integralImage)

Estimates the orientation without calculating the image derivative.

Parameters:

sampleRadius - Radius of the region being considered in terms of samples. Typically 6.

samplePeriod - How often the image is sampled. This number is scaled. Typically 1.

sampleWidth - How wide of a kernel should be used to sample. Try 4

weightSigma - Sigma for weighting. zero for unweighted.

integralImage - Type of image being processed.

Returns:

OrientationIntegral

See Also:

ImplOrientationImageAverageIntegral

sliding_ii

public static <II extends ImageGray> OrientationIntegral<II> sliding_ii(ConfigSlidingIntegral config,
                                                                        java.lang.Class<II> integralType)

Estimates the orientation of a region by using a sliding window across the different potential angles.

Parameters:

config - Configuration for algorithm. If null defaults will be used.

integralType - Type of integral image being processed.

Returns:

OrientationIntegral

See Also:

OrientationSlidingWindow

sift

public static <D extends ImageGray> OrientationHistogramSift<D> sift(ConfigSiftOrientation config,
                                                                     java.lang.Class<D> derivType)

Estimates multiple orientations as specified in SIFT paper.

Parameters:

config - Configuration for algorithm. If null defaults will be used.

derivType - Type of derivative image it takes as input

Returns:

OrientationHistogramSift