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User Documentation |
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Centre for Vision, Speech & Signal Processing |
Comments:
The class MeanCovariance2dC combines representations of mean and covariance
matrix in 2D space together.
Parent Classes:
Derived Classes:
Methods:
- MeanCovariance2dC()
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- MeanCovariance2dC(const Point2dC & point)
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- MeanCovariance2dC(const Mean2dC & mean)
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- MeanCovariance2dC(LongIntT n,const Point2dC & mean,const Matrix2d2C & cov)
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- MeanCovariance2dC(const SumNXX2d2C & sums)
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- MeanCovariance2dC(const MeanCovariance2dC & meanCov)
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- const MeanCovariance2dC & operator=(const MeanCovariance2dC & meanCov)
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Access to elements of the object
- LongIntT Number() const
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- const Point2dC & Mean() const
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- const Mean2dC & Mean2d() const
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- const Matrix2d2C & Covariance() const
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- const MeanCovariance2dC & MeanCovariance2d() const
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- MeanCovariance2dC & MeanCovariance2d()
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- const MeanCovariance2dC & SetZero()
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- const MeanCovariance2dC & operator+=(const Point2dC & point)
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- const MeanCovariance2dC & operator+=(const Mean2dC & mean)
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- const MeanCovariance2dC & operator+=(const MeanCovariance2dC & meanCov)
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- const MeanCovariance2dC & operator-=(const Point2dC & point)
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- const MeanCovariance2dC & operator-=(const Mean2dC & mean)
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- const MeanCovariance2dC & operator-=(const MeanCovariance2dC & meanCov)
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- const MeanCovariance2dC & Add(const Mean2dC & mean,const Matrix2d2C noiseCov)
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add a set of points with an estimated noise covariance matrix
- const MeanCovariance2dC & Remove(const Mean2dC & mean,const Matrix2d2C noiseCov)
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remove a set of points with an estimated noise covariance matrix
- MeanCovariance2dC operator+(const MeanCovariance2dC & meanCov) const
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- MeanCovariance2dC operator-(const MeanCovariance2dC & meanCov) const
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- const MeanCovariance2dC & SetSum(const MeanCovariance2dC & meanCov1,const MeanCovariance2dC & meanCov2)
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- istream & operator>>(istream & inS,MeanCovariance2dC & meanCov)
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Programmer:Radek Marik, Documentation by CxxDoc: Tue Mar 20 10:48:08 2001
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