|
Developer Documentation |
|
Centre for Vision, Speech & Signal Processing |
Parent Classes:
Typedefs:
- typedef StdTypeC::RealT XRealT;
-
Variables:
- Matrix2d2C covI;
-
inversion of covariance matrix
- XRealT ent;
-
Methods:
- MeanCovarianceEntropy2dC()
-
- MeanCovarianceEntropy2dC(const MeanCovarianceEntropy2dC & mce)
-
- MeanCovarianceEntropy2dC(const MeanCovariance2dC & mce)
-
- const MeanCovarianceEntropy2dC & operator=(const MeanCovariance2dC & mc)
-
set object according to 'mc'
- const MeanCovarianceEntropy2dC & operator+=(const Mean2dC & mc)
-
add set of points
- const MeanCovarianceEntropy2dC & operator-=(const Mean2dC & mc)
-
remove set of points
- const MeanCovarianceEntropy2dC & Add(const Mean2dC & mean,const Matrix2d2C & noiseCov)
-
add a set of points with an estimated covariance matrix
- const MeanCovarianceEntropy2dC & Remove(const Mean2dC & mean,const Matrix2d2C & noiseCov)
-
remove a set of points with an estimated covariance matrix
- XRealT Entropy() const
-
- const Matrix2d2C & CovarianceI() const
-
- XRealT JoinEntropy(const MeanCovarianceEntropy2dC & mce) const
-
- istream & operator>>(istream & inS,MeanCovariance2dC & meanCov)
-
- const MeanCovariance2dC & operator=(const MeanCovariance2dC & meanCov)
-
Access to elements of the object
- LongIntT Number() const
-
- const Point2dC & Mean() const
-
- const Mean2dC & Mean2d() const
-
- const Matrix2d2C & Covariance() const
-
- const MeanCovariance2dC & MeanCovariance2d() const
-
- MeanCovariance2dC & MeanCovariance2d()
-
- const MeanCovariance2dC & SetZero()
-
- const MeanCovariance2dC & operator+=(const Point2dC & point)
-
- const MeanCovariance2dC & operator+=(const Mean2dC & mean)
-
- const MeanCovariance2dC & operator+=(const MeanCovariance2dC & meanCov)
-
- const MeanCovariance2dC & operator-=(const Point2dC & point)
-
- const MeanCovariance2dC & operator-=(const Mean2dC & mean)
-
- const MeanCovariance2dC & operator-=(const MeanCovariance2dC & meanCov)
-
- const MeanCovariance2dC & Add(const Mean2dC & mean,const Matrix2d2C noiseCov)
-
add a set of points with an estimated noise covariance matrix
- const MeanCovariance2dC & Remove(const Mean2dC & mean,const Matrix2d2C noiseCov)
-
remove a set of points with an estimated noise covariance matrix
- MeanCovariance2dC operator+(const MeanCovariance2dC & meanCov) const
-
- MeanCovariance2dC operator-(const MeanCovariance2dC & meanCov) const
-
- const MeanCovariance2dC & SetSum(const MeanCovariance2dC & meanCov1,const MeanCovariance2dC & meanCov2)
-
- istream & operator>>(istream & inS,MeanCovariance2dC & meanCov)
-
|
Programmer:Radek Marik, Documentation by CxxDoc: Tue Mar 20 10:49:27 2001
|