aliceVision::robustEstimation::ISolver< ModelT_ > Class Template Reference

Generic solver interface. More...

#include <ISolver.hpp>

Inheritance diagram for aliceVision::robustEstimation::ISolver< ModelT_ >:

Public Member Functions
virtual std::size_t	getMinimumNbRequiredSamples () const =0
	Return the minimum number of required samples. More...
virtual std::size_t	getMaximumNbModels () const =0
	Return the maximum number of models. More...
virtual void	solve (const Mat &x1, const Mat &x2, std::vector< ModelT_ > &models) const =0
	Solve the problem. More...
virtual void	solve (const Mat &x1, const Mat &x2, std::vector< ModelT_ > &models, const std::vector< double > &weights) const =0
	Solve the problem. More...

Detailed Description

template<typename ModelT_>
class aliceVision::robustEstimation::ISolver< ModelT_ >

Generic solver interface.

Member Function Documentation

getMaximumNbModels()

template<typename ModelT_ >

virtual std::size_t aliceVision::robustEstimation::ISolver< ModelT_ >::getMaximumNbModels ( ) const

pure virtual

Return the maximum number of models.

Returns

maximum number of models

Implemented in aliceVision::robustEstimation::UndefinedSolver< ModelT_ >, aliceVision::robustEstimation::UndefinedSolver< robustEstimation::Mat34Model >, and aliceVision::robustEstimation::UndefinedSolver< robustEstimation::Mat3Model >.

getMinimumNbRequiredSamples()

template<typename ModelT_ >

virtual std::size_t aliceVision::robustEstimation::ISolver< ModelT_ >::getMinimumNbRequiredSamples ( ) const

pure virtual

Return the minimum number of required samples.

Returns

minimum number of required samples

Implemented in aliceVision::robustEstimation::UndefinedSolver< ModelT_ >, aliceVision::robustEstimation::UndefinedSolver< robustEstimation::Mat34Model >, and aliceVision::robustEstimation::UndefinedSolver< robustEstimation::Mat3Model >.

solve() [1/2]

template<typename ModelT_ >

virtual void aliceVision::robustEstimation::ISolver< ModelT_ >::solve ( const Mat &  x1, const Mat &  x2, std::vector< ModelT_ > &  models  ) const

pure virtual

Solve the problem.

Parameters

[in]	x1	A 2xN matrix of column vectors.
[in]	x2	A 2xN (relative pose) or 3xN (resection) matrix of column vectors.
[out]	models	A vector into which the computed models are stored.

Implemented in aliceVision::robustEstimation::UndefinedSolver< robustEstimation::Mat3Model >, aliceVision::robustEstimation::UndefinedSolver< robustEstimation::Mat34Model >, and aliceVision::robustEstimation::UndefinedSolver< ModelT_ >.

solve() [2/2]

template<typename ModelT_ >

virtual void aliceVision::robustEstimation::ISolver< ModelT_ >::solve ( const Mat &  x1, const Mat &  x2, std::vector< ModelT_ > &  models, const std::vector< double > &  weights  ) const

pure virtual

Solve the problem.

Parameters

[in]	x1	A 2xN matrix of column vectors.
[in]	x2	A 2xN (relative pose) or 3xN (resection) matrix of column vectors.
[out]	models	A vector into which the computed models are stored.
[in]	weights.

Implemented in aliceVision::robustEstimation::UndefinedSolver< robustEstimation::Mat3Model >, aliceVision::robustEstimation::UndefinedSolver< robustEstimation::Mat34Model >, and aliceVision::robustEstimation::UndefinedSolver< ModelT_ >.

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

• /home/docs/checkouts/readthedocs.org/user_builds/alicevision/checkouts/stable/src/aliceVision/robustEstimation/ISolver.hpp