Class AffineFeature


  • public class AffineFeature
    extends Feature2D
    Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in CITE: YM11 .
    • Constructor Detail

      • AffineFeature

        protected AffineFeature​(long addr)
    • Method Detail

      • __fromPtr__

        public static AffineFeature __fromPtr__​(long addr)
      • create

        public static AffineFeature create​(Feature2D backend,
                                           int maxTilt,
                                           int minTilt,
                                           float tiltStep,
                                           float rotateStepBase)
        Parameters:
        backend - The detector/extractor you want to use as backend.
        maxTilt - The highest power index of tilt factor. 5 is used in the paper as tilt sampling range n.
        minTilt - The lowest power index of tilt factor. 0 is used in the paper.
        tiltStep - Tilt sampling step \(\delta_t\) in Algorithm 1 in the paper.
        rotateStepBase - Rotation sampling step factor b in Algorithm 1 in the paper.
        Returns:
        automatically generated
      • create

        public static AffineFeature create​(Feature2D backend,
                                           int maxTilt,
                                           int minTilt,
                                           float tiltStep)
        Parameters:
        backend - The detector/extractor you want to use as backend.
        maxTilt - The highest power index of tilt factor. 5 is used in the paper as tilt sampling range n.
        minTilt - The lowest power index of tilt factor. 0 is used in the paper.
        tiltStep - Tilt sampling step \(\delta_t\) in Algorithm 1 in the paper.
        Returns:
        automatically generated
      • create

        public static AffineFeature create​(Feature2D backend,
                                           int maxTilt,
                                           int minTilt)
        Parameters:
        backend - The detector/extractor you want to use as backend.
        maxTilt - The highest power index of tilt factor. 5 is used in the paper as tilt sampling range n.
        minTilt - The lowest power index of tilt factor. 0 is used in the paper.
        Returns:
        automatically generated
      • create

        public static AffineFeature create​(Feature2D backend,
                                           int maxTilt)
        Parameters:
        backend - The detector/extractor you want to use as backend.
        maxTilt - The highest power index of tilt factor. 5 is used in the paper as tilt sampling range n.
        Returns:
        automatically generated
      • create

        public static AffineFeature create​(Feature2D backend)
        Parameters:
        backend - The detector/extractor you want to use as backend.
        Returns:
        automatically generated
      • getDefaultName

        public String getDefaultName()
        Description copied from class: Algorithm
        Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.
        Overrides:
        getDefaultName in class Feature2D
        Returns:
        automatically generated