boofcv.factory.feature.orientation

Class FactoryOrientationAlgs

java.lang.Object

boofcv.factory.feature.orientation.FactoryOrientationAlgs

public class FactoryOrientationAlgs
extends Object

Author:

Peter Abeles

Constructor Summary

Constructors

Constructor and Description
FactoryOrientationAlgs()

Method Summary

Methods

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

Methods inherited from class java.lang.Object

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

Constructor Detail

FactoryOrientationAlgs

public FactoryOrientationAlgs()

Method Detail

histogram

public static <T extends ImageSingleBand> OrientationHistogram<T> histogram(int numAngles,
                                                            int radius,
                                                            boolean weighted,
                                                            Class<T> derivType)

nogradient

public static <T extends ImageSingleBand> OrientationImageAverage<T> nogradient(int radius,
                                                                Class<T> imageType)

average

public static <T extends ImageSingleBand> OrientationAverage<T> average(int radius,
                                                        boolean weighted,
                                                        Class<T> derivType)

sliding

public static <T extends ImageSingleBand> OrientationSlidingWindow<T> sliding(int numAngles,
                                                              double windowSize,
                                                              int radius,
                                                              boolean weighted,
                                                              Class<T> derivType)

average_ii

public static <II extends ImageSingleBand> OrientationIntegral<II> average_ii(ConfigAverageIntegral config,
                                                              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 ImageSingleBand> OrientationIntegral<II> image_ii(int radius,
                                                            double samplePeriod,
                                                            int sampleWidth,
                                                            double weightSigma,
                                                            Class<II> integralImage)

Estimates the orientation without calculating the image derivative.

Parameters:

radius - 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 ImageSingleBand> OrientationIntegral<II> sliding_ii(ConfigSlidingIntegral config,
                                                              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 OrientationHistogramSift sift(ConfigSiftOrientation config)

Estimates multiple orientations as specified in SIFT paper.

Parameters:

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

Returns:

OrientationHistogramSift