Inheritance diagram for aliceVision::robustEstimation::NormalizedPointFittingKernel< SolverT_, ErrorT_, UnnormalizerT_, ModelT_ >:

Public Types
using	KernelBase = PointFittingKernel< SolverT_, ErrorT_, ModelT_ >

Public Types inherited from aliceVision::robustEstimation::PointFittingKernel< SolverT_, ErrorT_, Mat3Model >
using	SolverT = SolverT_

using	ErrorT = ErrorT_

using	ModelT = Mat3Model

Public Member Functions
	NormalizedPointFittingKernel (const Mat &x1, const Mat &x2)

void	fit (const std::vector< std::size_t > &samples, std::vector< ModelT_ > &models) const override
	Extract required sample and fit model(s) to the sample. More...

Public Member Functions inherited from aliceVision::robustEstimation::PointFittingKernel< SolverT_, ErrorT_, Mat3Model >
	PointFittingKernel (const Mat &x1, const Mat &x2)

std::size_t	getMinimumNbRequiredSamples () const
	Return the minimum number of required samples. More...

std::size_t	getMaximumNbModels () const
	Return the maximum number of models. More...

virtual void	fit (const std::vector< std::size_t > &samples, std::vector< ModelT > &models) const
	Extract required sample and fit model(s) to the sample. More...

virtual double	error (std::size_t sample, const ModelT &model) const
	Return the error associated to the model and a sample point. More...

virtual void	errors (const ModelT &model, std::vector< double > &errors) const
	Return the errors associated to the model and each sample point. More...

std::size_t	nbSamples () const
	get the number of putative points More...

Additional Inherited Members
Protected Attributes inherited from aliceVision::robustEstimation::PointFittingKernel< SolverT_, ErrorT_, Mat3Model >
const Mat &	_x1
	left corresponding data

const Mat &	_x2
	right corresponding data

const SolverT	_kernelSolver
	two view solver

const ErrorT	_errorEstimator
	solver error estimation

Member Function Documentation

◆ fit()

template<typename SolverT_ , typename ErrorT_ , typename UnnormalizerT_ , typename ModelT_ = Mat3Model>

void aliceVision::robustEstimation::NormalizedPointFittingKernel< SolverT_, ErrorT_, UnnormalizerT_, ModelT_ >::fit	(	const std::vector< std::size_t > &	samples,
		std::vector< ModelT_ > &	models
	)		const

inlineoverride

Extract required sample and fit model(s) to the sample.

Parameters

[in]	samples
[out]	models

The documentation for this class was generated from the following file:

/home/docs/checkouts/readthedocs.org/user_builds/alicevision/checkouts/latest/src/aliceVision/robustEstimation/PointFittingKernel.hpp