mpi.cbg.fly
Class SIFT

java.lang.Object
  mpi.cbg.fly.SIFT

public class SIFT
extends java.lang.Object

Constructor Summary

SIFT()

Method Summary

static java.util.Vector<PointMatch>	createMatches(java.util.List<Feature> fs1, java.util.List<Feature> fs2, float max_sd, Model model, float max_id) identify corresponding features using spatial constraints
static int	fdbins()
static void	fdbins(int fb)
static int	fdsize()
static java.util.Vector<Feature>	getFeatures(FloatArray2D fa)
static java.util.Vector<Feature>	getFeatures(java.awt.Image imp)
static java.util.Vector<Feature>	getFeatures(int w, int h, int[] pixels)
static float	initial_sigma()
static int	max_size()
static int	min_size()
static void	set_fdsize(int fs)
static void	set_initial_sigma(float is)
static void	set_max_size(int ms)
static void	set_min_size(int ms)
static void	set_steps(int s)
static int	steps()

Methods inherited from class java.lang.Object

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

Constructor Detail

SIFT

public SIFT()

Method Detail

steps

public static int steps()

set_steps

public static void set_steps(int s)

initial_sigma

public static float initial_sigma()

set_initial_sigma

public static void set_initial_sigma(float is)

fdsize

public static int fdsize()

set_fdsize

public static void set_fdsize(int fs)

fdbins

public static int fdbins()

fdbins

public static void fdbins(int fb)

min_size

public static int min_size()

set_min_size

public static void set_min_size(int ms)

max_size

public static int max_size()

set_max_size

public static void set_max_size(int ms)

getFeatures

public static java.util.Vector<Feature> getFeatures(int w,
                                                    int h,
                                                    int[] pixels)

Parameters:

w - width of the picture

h - height of the picture

pixels[] - tab of pixels rgb color (ex: red 0xff0000)

Returns:

vector of features of the picture

getFeatures

public static java.util.Vector<Feature> getFeatures(java.awt.Image imp)

Parameters:

imp - picture

Returns:

vector of features of the picture

getFeatures

public static java.util.Vector<Feature> getFeatures(FloatArray2D fa)

createMatches

public static java.util.Vector<PointMatch> createMatches(java.util.List<Feature> fs1,
                                                         java.util.List<Feature> fs2,
                                                         float max_sd,
                                                         Model model,
                                                         float max_id)

identify corresponding features using spatial constraints

Parameters:

fs1 - feature collection from set 1 sorted by decreasing size

fs2 - feature collection from set 2 sorted by decreasing size

max_sd - maximal difference in size (ratio max/min)

model - transformation model to be applied to fs2

max_id - maximal distance in image space ($\sqrt{x^2+y^2}$)

Returns:

matches TODO implement the spatial constraints