Package boofcv.alg.geo

Class LowLevelMultiViewOps

java.lang.Object

boofcv.alg.geo.LowLevelMultiViewOps

public class LowLevelMultiViewOps
extends Object

Lists of operations used by various multi-view algorithms, but not of use to the typical user.

Constructor Summary

Constructors

Constructor	Description
LowLevelMultiViewOps()

Method Summary

Modifier and Type	Method	Description
static void	applyNormalization(List<AssociatedPair> points, NormalizationPoint2D N1, NormalizationPoint2D N2, DMatrix1Row X1, DMatrixRMaj X2)
static void	computeNormalization(List<AssociatedPair> points, NormalizationPoint2D N1, NormalizationPoint2D N2)	Computes two normalization matrices for each set of point correspondences in the list of AssociatedPair.
static void	computeNormalization(List<AssociatedTriple> points, NormalizationPoint2D N1, NormalizationPoint2D N2, NormalizationPoint2D N3)	Computes three normalization matrices for each set of point correspondences in the list of AssociatedTriple.
static void	computeNormalization(List<Point2D_F64> points, NormalizationPoint2D normalize)	Computes a transform which will normalize the points such that they have zero mean and a standard deviation of one
static <In> void	computeNormalizationLL(List<List<In>> points, BoofLambdas.ConvertOut<In,Point2D_F64> convert, NormalizationPoint2D normalize)	Computes normalization when points are contained in a list of lists

Methods inherited from class java.lang.Object

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

Constructor Details

LowLevelMultiViewOps

public LowLevelMultiViewOps()

Method Details

computeNormalization

public static void computeNormalization(List<Point2D_F64> points,
 NormalizationPoint2D normalize)

Computes a transform which will normalize the points such that they have zero mean and a standard deviation of one

Y. Ma, S. Soatto, J. Kosecka, and S. S. Sastry, "An Invitation to 3-D Vision" Springer-Verlad, 2004

Parameters:

points - Input: List of observed points. Not modified.

normalize - Output: 3x3 normalization matrix for first set of points. Modified.

computeNormalizationLL

public static <In> void computeNormalizationLL(List<List<In>> points,
 BoofLambdas.ConvertOut<In,Point2D_F64> convert,
 NormalizationPoint2D normalize)

Computes normalization when points are contained in a list of lists

Parameters:

points - Input: List of observed points. Not modified.

normalize - Output: 3x3 normalization matrix for first set of points. Modified.

computeNormalization

public static void computeNormalization(List<AssociatedPair> points,
 NormalizationPoint2D N1,
 NormalizationPoint2D N2)

Computes two normalization matrices for each set of point correspondences in the list of AssociatedPair. Same as computeNormalization(java.util.List, NormalizationPoint2D), but for two views.

Parameters:

points - Input: List of observed points that are to be normalized. Not modified.

N1 - Output: 3x3 normalization matrix for first set of points. Modified.

N2 - Output: 3x3 normalization matrix for second set of points. Modified.

computeNormalization

public static void computeNormalization(List<AssociatedTriple> points,
 NormalizationPoint2D N1,
 NormalizationPoint2D N2,
 NormalizationPoint2D N3)

Computes three normalization matrices for each set of point correspondences in the list of AssociatedTriple. Same as computeNormalization(java.util.List, NormalizationPoint2D), but for three views.

Parameters:

points - Input: List of observed points that are to be normalized. Not modified.

N1 - Output: 3x3 normalization matrix for first set of points. Modified.

N2 - Output: 3x3 normalization matrix for second set of points. Modified.

N3 - Output: 3x3 normalization matrix for third set of points. Modified.

applyNormalization

public static void applyNormalization(List<AssociatedPair> points,
 NormalizationPoint2D N1,
 NormalizationPoint2D N2,
 DMatrix1Row X1,
 DMatrixRMaj X2)