mpi.cbg.fly
Class FloatArray2DSIFT

java.lang.Object
  mpi.cbg.fly.FloatArray2DSIFT

public class FloatArray2DSIFT
extends java.lang.Object

Constructor Summary

FloatArray2DSIFT(int feature_descriptor_size, int feature_descriptor_orientation_bins)
Constructor

Method Summary

static float[]	featureSizeHistogram(java.util.Vector<Feature> features, float min, float max, int bins) get a histogram of feature sizes
long	getFeatureObjectSize() Returns the size in bytes of a Feature object.
static long	getFeatureObjectSize(int fdsize, int fdbins)
FloatArray2DScaleOctave	getOctave(int i)
FloatArray2DScaleOctave[]	getOctaves()
void	init(FloatArray2D src, int steps, float initial_sigma, int min_size, int max_size) initialize the scale space as a scale pyramid having octave stubs only
java.util.Vector<Feature>	run() detect features in all scale octaves
java.util.Vector<Feature>	run(int max_size) detect features in all scale octaves
java.util.Vector<Feature>	runOctave(int o) detect features in the specified scale octave

Methods inherited from class java.lang.Object

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

Constructor Detail

FloatArray2DSIFT

public FloatArray2DSIFT(int feature_descriptor_size,
                        int feature_descriptor_orientation_bins)

Constructor

Parameters:

feature_descriptor_size -

feature_descriptor_size -

Method Detail

getFeatureObjectSize

public long getFeatureObjectSize()

Returns the size in bytes of a Feature object.

getFeatureObjectSize

public static long getFeatureObjectSize(int fdsize,
                                        int fdbins)

getOctaves

public FloatArray2DScaleOctave[] getOctaves()

getOctave

public FloatArray2DScaleOctave getOctave(int i)

init

public void init(FloatArray2D src,
                 int steps,
                 float initial_sigma,
                 int min_size,
                 int max_size)

initialize the scale space as a scale pyramid having octave stubs only

Parameters:

src - image having a generating gaussian kernel of initial_sigma img must be a 2d-array of float values in range [0.0f, ..., 1.0f]

steps - gaussian smooth steps steps per scale octave

initial_sigma - sigma of the generating gaussian kernel of img

min_size - minimal size of a scale octave in pixel

max_size - maximal size of an octave to be taken into account Use this to save memory and procesing time, if processing higher resolutions is not necessary.

runOctave

public java.util.Vector<Feature> runOctave(int o)

detect features in the specified scale octave

Parameters:

o - octave index

Returns:

detected features

run

public java.util.Vector<Feature> run()

detect features in all scale octaves

Returns:

detected features

run

public java.util.Vector<Feature> run(int max_size)

detect features in all scale octaves

Returns:

detected features

featureSizeHistogram

public static float[] featureSizeHistogram(java.util.Vector<Feature> features,
                                           float min,
                                           float max,
                                           int bins)

get a histogram of feature sizes

Parameters:

rs -