OpenGV
A library for solving calibrated central and non-central geometric vision problems
opengv::sac_problems::relative_pose::EigensolverSacProblem Member List

This is the complete list of members for opengv::sac_problems::relative_pose::EigensolverSacProblem, including all inherited members.

_adapteropengv::sac_problems::relative_pose::EigensolverSacProblemprotected
_sampleSizeopengv::sac_problems::relative_pose::EigensolverSacProblemprotected
adapter_t typedefopengv::sac_problems::relative_pose::EigensolverSacProblem
computeModelCoefficients(const std::vector< int > &indices, model_t &outModel) const opengv::sac_problems::relative_pose::EigensolverSacProblemvirtual
countWithinDistance(const model_t &model_coefficients, const double threshold)opengv::sac::SampleConsensusProblem< eigensolverOutput_t >virtual
drawIndexSample(std::vector< int > &sample)opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
EigensolverSacProblem(adapter_t &adapter, size_t sampleSize, bool randomSeed=true)opengv::sac_problems::relative_pose::EigensolverSacProbleminline
EigensolverSacProblem(adapter_t &adapter, size_t sampleSize, const std::vector< int > &indices, bool randomSeed=true)opengv::sac_problems::relative_pose::EigensolverSacProbleminline
getDistancesToModel(const model_t &model_coefficients, std::vector< double > &distances)opengv::sac::SampleConsensusProblem< eigensolverOutput_t >virtual
getIndices() constopengv::sac::SampleConsensusProblem< eigensolverOutput_t >
getSamples(int &iterations, std::vector< int > &samples)opengv::sac::SampleConsensusProblem< eigensolverOutput_t >virtual
getSampleSize() const opengv::sac_problems::relative_pose::EigensolverSacProblemvirtual
getSelectedDistancesToModel(const model_t &model, const std::vector< int > &indices, std::vector< double > &scores) const opengv::sac_problems::relative_pose::EigensolverSacProblemvirtual
indices_opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
isSampleGood(const std::vector< int > &sample) constopengv::sac::SampleConsensusProblem< eigensolverOutput_t >virtual
max_sample_checks_opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
model_t typedefopengv::sac_problems::relative_pose::EigensolverSacProblem
optimizeModelCoefficients(const std::vector< int > &inliers, const model_t &model, model_t &optimized_model)opengv::sac_problems::relative_pose::EigensolverSacProblemvirtual
rnd()opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
rng_alg_opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
rng_dist_opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
rng_gen_opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
SampleConsensusProblem(bool randomSeed=true)opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
selectWithinDistance(const model_t &model_coefficients, const double threshold, std::vector< int > &inliers)opengv::sac::SampleConsensusProblem< eigensolverOutput_t >virtual
setIndices(const std::vector< int > &indices)opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
setUniformIndices(int N)opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
shuffled_indices_opengv::sac::SampleConsensusProblem< eigensolverOutput_t >
~EigensolverSacProblem()opengv::sac_problems::relative_pose::EigensolverSacProbleminlinevirtual
~SampleConsensusProblem()opengv::sac::SampleConsensusProblem< eigensolverOutput_t >virtual