Class FactoryOrientationAlgs

java.lang.Object
boofcv.factory.feature.orientation.FactoryOrientationAlgs

public class FactoryOrientationAlgs extends Object
Creates specific implementations of local region orientation estimators.
  • Constructor Details

    • FactoryOrientationAlgs

      public FactoryOrientationAlgs()
  • Method Details

    • histogram

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

      public static <T extends ImageGray<T>> OrientationImageAverage<T> nogradient(double objectToSample, int radius, Class<T> imageType)
    • average

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

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

      public static <II extends ImageGray<II>> OrientationIntegral<II> average_ii(@Nullable @Nullable ConfigAverageIntegral config, Class<II> integralType)
      Orientation using "average" approach on integral images.
      Parameters:
      config - Configuration for algorithm.
      integralType - Type of image being processed.
      Returns:
      OrientationIntegral
      See Also:
    • image_ii

      public static <II extends ImageGray<II>> OrientationIntegral<II> image_ii(double objectRadiusToScale, int sampleRadius, double samplePeriod, int sampleWidth, double weightSigma, 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:
    • sliding_ii

      public static <II extends ImageGray<II>> OrientationIntegral<II> sliding_ii(@Nullable @Nullable 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:
    • sift

      public static <D extends ImageGray<D>> OrientationHistogramSift<D> sift(@Nullable @Nullable ConfigSiftOrientation config, 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