boofcv.abst.geo.optimization
Class ResidualsCodecToMatrix<Model,Observation>
- java.lang.Object
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- boofcv.abst.geo.optimization.ResidualsCodecToMatrix<Model,Observation>
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- All Implemented Interfaces:
- FunctionNtoM
public class ResidualsCodecToMatrix<Model,Observation> extends java.lang.Object implements FunctionNtoM
Computes residual errors for a set of observations from a model.
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Constructor Summary
Constructors Constructor and Description ResidualsCodecToMatrix(ModelCodec<Model> param, ModelObservationResidualN<Model,Observation> residual, Model storage)Configures algorithm
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description intgetNumOfInputsN()Number of input elements.intgetNumOfOutputsM()Number of output elements.voidprocess(double[] input, double[] output)Processes the input to compute the values found in the output array.voidsetObservations(java.util.List<Observation> obs)
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Constructor Detail
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ResidualsCodecToMatrix
public ResidualsCodecToMatrix(ModelCodec<Model> param, ModelObservationResidualN<Model,Observation> residual, Model storage)
Configures algorithm- Parameters:
param- Converts parameters into epipolar matrixresidual- Function for computing the residualsstorage- Storage for converted model. Will be modified.
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Method Detail
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setObservations
public void setObservations(java.util.List<Observation> obs)
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getNumOfInputsN
public int getNumOfInputsN()
Description copied from interface:FunctionNtoMNumber of input elements. Typically the parameters you are optimizing.- Specified by:
getNumOfInputsNin interfaceFunctionNtoM- Returns:
- number of input elements
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getNumOfOutputsM
public int getNumOfOutputsM()
Description copied from interface:FunctionNtoMNumber of output elements. Typically the functions that are being optimized.- Specified by:
getNumOfOutputsMin interfaceFunctionNtoM- Returns:
- number of output elements
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process
public void process(double[] input, double[] output)Description copied from interface:FunctionNtoMProcesses the input to compute the values found in the output array. The output's meaning depends on the application. For least-squares it is the residual error. SeeUnconstrainedLeastSquares.The user can modify the input parameters here and the optimizer must use those changes.
- Specified by:
processin interfaceFunctionNtoM- Parameters:
input- Parameters for input model.output- Storage for the output give the model.
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