net.semanticmetadata.lire.imageanalysis.features.local.sift

类 TModel2D

java.lang.Object

net.semanticmetadata.lire.imageanalysis.features.local.sift.Model

net.semanticmetadata.lire.imageanalysis.features.local.sift.TModel2D

public class TModel2D
extends Model

字段概要

字段

限定符和类型	字段和说明
static int	MIN_SET_SIZE

从类继承的字段 net.semanticmetadata.lire.imageanalysis.features.local.sift.Model

error

构造器概要

构造器

构造器和说明
TModel2D()

方法概要

限定符和类型	方法和说明
float[]	apply(float[] point) apply the model to a point location
void	applyInPlace(float[] point) apply the model to a point location
float[]	applyInverse(float[] point) apply the inverse of the model to a point location
void	applyInverseInPlace(float[] point) apply the inverse of the model to a point location
TModel2D	clone() clone
static TModel2D	estimateBestModel(java.util.List<PointMatch> candidates, java.util.Collection<PointMatch> inliers, float min_epsilon, float max_epsilon, float min_inlier_ratio) estimate the transformation model for a set of feature correspondences containing a high number of outliers using RANSAC increase the error as long as not more inliers occur
static TModel2D	estimateModel(java.util.List<PointMatch> candidates, java.util.Collection<PointMatch> inliers, int iterations, float epsilon, float min_inliers) estimate the transformation model for a set of feature correspondences containing a high number of outliers using RANSAC
boolean	fit(PointMatch[] min_matches) fit the model to a minimal set of point correpondences estimates a model to transform match.p2.local to match.p1.world
java.awt.geom.AffineTransform	getAffine()
void	minimize(java.util.Collection<PointMatch> matches)
void	shake(java.util.Collection<PointMatch> matches, float scale, float[] center) change the model a bit estimates the necessary amount of shaking for each single dimensional distance in the set of matches
java.lang.String	toString() string to output stream
TRModel2D	toTRModel2D()

从类继承的方法 net.semanticmetadata.lire.imageanalysis.features.local.sift.Model

betterThan, test

从类继承的方法 java.lang.Object

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

字段详细资料

MIN_SET_SIZE

public static final int MIN_SET_SIZE

另请参阅:

常量字段值

构造器详细资料

TModel2D

public TModel2D()

方法详细资料

getAffine

public java.awt.geom.AffineTransform getAffine()

指定者:

getAffine 在类中 Model

apply

public float[] apply(float[] point)

从类复制的说明: Model

apply the model to a point location

指定者:

apply 在类中 Model

返回:

transformed point

applyInPlace

public void applyInPlace(float[] point)

从类复制的说明: Model

apply the model to a point location

指定者:

applyInPlace 在类中 Model

applyInverse

public float[] applyInverse(float[] point)

从类复制的说明: Model

apply the inverse of the model to a point location

指定者:

applyInverse 在类中 Model

返回:

transformed point

applyInverseInPlace

public void applyInverseInPlace(float[] point)

从类复制的说明: Model

apply the inverse of the model to a point location

指定者:

applyInverseInPlace 在类中 Model

fit

public boolean fit(PointMatch[] min_matches)

从类复制的说明: Model

fit the model to a minimal set of point correpondences estimates a model to transform match.p2.local to match.p1.world

指定者:

fit 在类中 Model

参数:

min_matches - minimal set of point correpondences

返回:

true if a model was estimated

toString

public java.lang.String toString()

从类复制的说明: Model

string to output stream

指定者:

toString 在类中 Model

minimize

public void minimize(java.util.Collection<PointMatch> matches)

指定者:

minimize 在类中 Model

shake

public final void shake(java.util.Collection<PointMatch> matches,
                        float scale,
                        float[] center)

change the model a bit

estimates the necessary amount of shaking for each single dimensional distance in the set of matches

指定者:

shake 在类中 Model

参数:

matches - point matches

scale - gives a multiplicative factor to each dimensional distance (scales the amount of shaking)

center - local pivot point for centered shakes (e.g. rotation)

estimateModel

public static TModel2D estimateModel(java.util.List<PointMatch> candidates,
                                     java.util.Collection<PointMatch> inliers,
                                     int iterations,
                                     float epsilon,
                                     float min_inliers)

estimate the transformation model for a set of feature correspondences containing a high number of outliers using RANSAC

estimateBestModel

public static TModel2D estimateBestModel(java.util.List<PointMatch> candidates,
                                         java.util.Collection<PointMatch> inliers,
                                         float min_epsilon,
                                         float max_epsilon,
                                         float min_inlier_ratio)

estimate the transformation model for a set of feature correspondences containing a high number of outliers using RANSAC

increase the error as long as not more inliers occur

clone

public TModel2D clone()

从类复制的说明: Model

clone

指定者:

clone 在类中 Model

toTRModel2D

public TRModel2D toTRModel2D()