boofcv.abst.geo.optimization

Class ResidualsEpipolarMatrixN

java.lang.Object

boofcv.abst.geo.optimization.ResidualsEpipolarMatrixN

All Implemented Interfaces:

FunctionNtoM

public class ResidualsEpipolarMatrixN
extends java.lang.Object
implements FunctionNtoM

Computes residual errors for a set of observations from a 3x3 epipolar matrix. Only a single output from the residual function.

Constructor Summary

Constructors

Constructor and Description
ResidualsEpipolarMatrixN(ModelCodec<org.ejml.data.DenseMatrix64F> param, ModelObservationResidualN residual) Configures algorithm

Method Summary

Modifier and Type	Method and Description
int	getNumOfInputsN() Number of input elements.
int	getNumOfOutputsM() Number of output elements.
void	process(double[] input, double[] output) Processes the input to compute the values found in the output array.
void	setObservations(java.util.List<AssociatedPair> obs)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ResidualsEpipolarMatrixN

public ResidualsEpipolarMatrixN(ModelCodec<org.ejml.data.DenseMatrix64F> param,
                                ModelObservationResidualN residual)

Configures algorithm

Parameters:

param - Converts parameters into epipolar matrix

residual - Function for computing the residuals

Method Detail

setObservations

public void setObservations(java.util.List<AssociatedPair> obs)

getNumOfInputsN

public int getNumOfInputsN()

Description copied from interface: FunctionNtoM

Number of input elements. Typically the parameters you are optimizing.

Specified by:

getNumOfInputsN in interface FunctionNtoM

Returns:

number of input elements

getNumOfOutputsM

public int getNumOfOutputsM()

Description copied from interface: FunctionNtoM

Number of output elements. Typically the functions that are being optimized.

Specified by:

getNumOfOutputsM in interface FunctionNtoM

Returns:

number of output elements

process

public void process(double[] input,
                    double[] output)

Description copied from interface: FunctionNtoM

Processes 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. See UnconstrainedLeastSquares.

The user can modify the input parameters here and the optimizer must use those changes.

Specified by:

process in interface FunctionNtoM

Parameters:

input - Parameters for input model.

output - Storage for the output give the model.