SVD Methods |
The SVD type exposes the following members.
| Name | Description | |
|---|---|---|
| AllocGCHandle |
Pins the object to be allocated by cvSetData.
(Inherited from DisposableObject.) | |
| AllocMemory |
Allocates the specified size of memory.
(Inherited from DisposableObject.) | |
| BackSubst(InputArray, OutputArray) |
performs back substitution, so that dst is the solution or pseudo-solution of m*dst = rhs, where m is the decomposed matrix
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| BackSubst(InputArray, InputArray, InputArray, InputArray, OutputArray) |
performs back substitution
| |
| Compute(InputArray, OutputArray, SVDFlags) |
computes singular values of a matrix
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| Compute(InputArray, OutputArray, OutputArray, OutputArray, SVDFlags) |
decomposes matrix and stores the results to user-provided matrices
| |
| Dispose |
Releases the resources
(Inherited from DisposableObject.) | |
| Dispose(Boolean) |
Releases the resources
(Inherited from DisposableObject.) | |
| DisposeManaged |
Releases managed resources
(Inherited from DisposableObject.) | |
| DisposeUnmanaged |
Releases unmanaged resources
(Overrides DisposableCvObjectDisposeUnmanaged.) | |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
| Finalize |
Destructor
(Inherited from DisposableObject.) | |
| GetHashCode | Serves as the default hash function. (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.) | |
| NotifyMemoryPressure |
Notifies the allocated size of memory.
(Inherited from DisposableObject.) | |
| Run |
the operator that performs SVD. The previously allocated SVD::u, SVD::w are SVD::vt are released.
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| SolveZ |
finds dst = arg min_{|dst|=1} |m*dst|
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| ThrowIfDisposed |
If this object is disposed, then ObjectDisposedException is thrown.
(Inherited from DisposableObject.) | |
| ToString | Returns a string that represents the current object. (Inherited from Object.) | |
| U |
eigenvalues of the covariation matrix
| |
| Vt |
mean value subtracted before the projection and added after the back projection
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| W |
eigenvalues of the covariation matrix
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