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The Kalman type exposes the following members.
Constructors
Name | Description | |
---|---|---|
![]() | Kalman(Int32, Int32, Int32) |
Allocates CvKalman and all its matrices and initializes them somehow.
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![]() | Kalman(Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Single>)>>)) |
Create a Kalman Filter using the specific values
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![]() | Kalman(Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Single>)>>), Matrix<(Of <<'(Single>)>>)) |
Create a Kalman Filter using the specific values
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Methods
Name | Description | |
---|---|---|
![]() | Correct |
Adjusts stochastic model state on the basis of the given measurement of the model state
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![]() | Dispose |
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.) |
![]() | DisposeObject |
Release unmanaged resource
(Overrides DisposableObject..::..DisposeObject()()()().) |
![]() | Equals | (Inherited from Object.) |
![]() | Finalize |
Destructor
(Inherited from DisposableObject.) |
![]() | GetHashCode |
Serves as a hash function for a particular type.
(Inherited from Object.) |
![]() | GetType |
Gets the Type of the current instance.
(Inherited from Object.) |
![]() | MemberwiseClone |
Creates a shallow copy of the current Object.
(Inherited from Object.) |
![]() | Predict()()()() |
Estimates the subsequent stochastic model state by its current state
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![]() | Predict(Matrix<(Of <<'(Single>)>>)) |
Estimates the subsequent stochastic model state by its current state and stores it at PredictedState
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![]() | ReleaseManagedResources |
Release all the matrix associated to this object
(Overrides DisposableObject..::..ReleaseManagedResources()()()().) |
![]() | ToString | (Inherited from Object.) |
Properties
Name | Description | |
---|---|---|
![]() | ControlMatrix |
Get or Set the control matrix
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![]() | CorrectedState |
Get or Set the Corrected State
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![]() | ErrorCovariancePost |
Get or Set the posteriori error estimate covariance matrix
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![]() | ErrorCovariancePre |
Get or Set the prior error convariance matrix
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![]() | Gain |
Get or Set the Kalman Gain
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![]() | MCvKalman |
Get the MCvKalman structure
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![]() | MeasurementMatrix |
Get or Set the measurement matrix
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![]() | MeasurementNoiseCovariance |
Get or Set the measurement noise covariance matrix
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![]() | PredictedState |
Get or Set the Predicted State
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![]() | ProcessNoiseCovariance |
Get or Set the process noise covariance matrix
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![]() | TransitionMatrix |
Get or Set the state transition matrix
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