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Developer Documentation |
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Centre for Vision, Speech & Signal Processing |
Parent Classes:
Typedefs:
- typedef StdTypeC::RealT XRealT;
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Variables:
- Matrix3d3C covI;
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inversion of covariance matrix
- XRealT ent;
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Methods:
- MeanCovarianceEntropy3dC()
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- MeanCovarianceEntropy3dC(const MeanCovarianceEntropy3dC & mce)
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- MeanCovarianceEntropy3dC(const MeanCovariance3dC & mce)
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- const MeanCovarianceEntropy3dC & operator=(const MeanCovariance3dC & mc)
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set object according to 'mc'
- const MeanCovarianceEntropy3dC & operator+=(const Mean3dC & mc)
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add set of points
- const MeanCovarianceEntropy3dC & operator-=(const Mean3dC & mc)
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remove set of points
- const MeanCovarianceEntropy3dC & Add(const Mean3dC & mean,const Matrix3d3C & noiseCov)
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add a set of points with an estimated covariance matrix
- const MeanCovarianceEntropy3dC & Remove(const Mean3dC & mean,const Matrix3d3C & noiseCov)
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remove a set of points with an estimated covariance matrix
- XRealT Entropy() const
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- const Matrix3d3C & CovarianceI() const
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- XRealT JoinEntropy(const MeanCovarianceEntropy3dC & mce) const
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- istream & operator>>(istream & inS,MeanCovariance3dC & meanCov)
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- LongIntT Number() const
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- const Point3dC & Mean() const
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- const Mean3dC & Mean3d() const
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- const Matrix3d3C & Covariance() const
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- const MeanCovariance3dC & MeanCovariance3d() const
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- MeanCovariance3dC & MeanCovariance3d()
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- const MeanCovariance3dC & SetZero()
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- const MeanCovariance3dC & operator=(const MeanCovariance3dC & meanCov)
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- const MeanCovariance3dC & operator+=(const Point3dC & point)
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- const MeanCovariance3dC & operator+=(const Mean3dC & mean)
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- const MeanCovariance3dC & operator+=(const MeanCovariance3dC & meanCov)
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- const MeanCovariance3dC & operator-=(const Point3dC & point)
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- const MeanCovariance3dC & operator-=(const Mean3dC & mean)
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- const MeanCovariance3dC & operator-=(const MeanCovariance3dC & meanCov)
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- const MeanCovariance3dC & Add(const Mean3dC & mean,const Matrix3d3C noiseCov)
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add a set of points with an estimated noise covariance matrix
- const MeanCovariance3dC & Remove(const Mean3dC & mean,const Matrix3d3C noiseCov)
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remove a set of points with an estimated noise covariance matrix
- MeanCovariance3dC operator+(const MeanCovariance3dC & meanCov) const
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- MeanCovariance3dC operator-(const MeanCovariance3dC & meanCov) const
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- const MeanCovariance3dC & SetSum(const MeanCovariance3dC & meanCov1,const MeanCovariance3dC & meanCov2)
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- PlanePVV3dC Plane01() const
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Returns the plane determined by the mean and the eigenvectors
of two biggest eigenvalues of the covariance matrix.
- istream & operator>>(istream & inS,MeanCovariance3dC & meanCov)
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Programmer:Radek Marik, Documentation by CxxDoc: Tue Mar 20 10:49:27 2001
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