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

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

_adapteropengv::sac_problems::relative_pose::MultiCentralRelativePoseSacProblemprotected
_sampleSizeopengv::sac_problems::relative_pose::MultiCentralRelativePoseSacProblemprotected
adapter_t typedefopengv::sac_problems::relative_pose::MultiCentralRelativePoseSacProblem
computeModelCoefficients(const std::vector< std::vector< int > > &indices, model_t &outModel) const opengv::sac_problems::relative_pose::MultiCentralRelativePoseSacProblemvirtual
countWithinDistance(const model_t &model_coefficients, const double threshold)opengv::sac::MultiSampleConsensusProblem< transformations_t >virtual
drawIndexSample(std::vector< std::vector< int > > &sample)opengv::sac::MultiSampleConsensusProblem< transformations_t >
getDistancesToModel(const model_t &model_coefficients, std::vector< std::vector< double > > &distances)opengv::sac::MultiSampleConsensusProblem< transformations_t >virtual
getIndices() constopengv::sac::MultiSampleConsensusProblem< transformations_t >
getSamples(int &iterations, std::vector< std::vector< int > > &samples)opengv::sac::MultiSampleConsensusProblem< transformations_t >virtual
getSampleSizes() const opengv::sac_problems::relative_pose::MultiCentralRelativePoseSacProblemvirtual
getSelectedDistancesToModel(const model_t &model, const std::vector< std::vector< int > > &indices, std::vector< std::vector< double > > &scores) const opengv::sac_problems::relative_pose::MultiCentralRelativePoseSacProblemvirtual
indices_opengv::sac::MultiSampleConsensusProblem< transformations_t >
isSampleGood(const std::vector< std::vector< int > > &sample) constopengv::sac::MultiSampleConsensusProblem< transformations_t >virtual
max_sample_checks_opengv::sac::MultiSampleConsensusProblem< transformations_t >
model_t typedefopengv::sac_problems::relative_pose::MultiCentralRelativePoseSacProblem
MultiCentralRelativePoseSacProblem(adapter_t &adapter, int sampleSize, bool randomSeed=true)opengv::sac_problems::relative_pose::MultiCentralRelativePoseSacProbleminline
MultiCentralRelativePoseSacProblem(adapter_t &adapter, const std::vector< std::vector< int > > &indices, int sampleSize, bool randomSeed=true)opengv::sac_problems::relative_pose::MultiCentralRelativePoseSacProbleminline
MultiSampleConsensusProblem(bool randomSeed=true)opengv::sac::MultiSampleConsensusProblem< transformations_t >
optimizeModelCoefficients(const std::vector< std::vector< int > > &inliers, const model_t &model, model_t &optimized_model)opengv::sac_problems::relative_pose::MultiCentralRelativePoseSacProblemvirtual
rnd()opengv::sac::MultiSampleConsensusProblem< transformations_t >
rng_alg_opengv::sac::MultiSampleConsensusProblem< transformations_t >
rng_dist_opengv::sac::MultiSampleConsensusProblem< transformations_t >
rng_gen_opengv::sac::MultiSampleConsensusProblem< transformations_t >
selectWithinDistance(const model_t &model_coefficients, const double threshold, std::vector< std::vector< int > > &inliers)opengv::sac::MultiSampleConsensusProblem< transformations_t >virtual
setIndices(const std::vector< std::vector< int > > &indices)opengv::sac::MultiSampleConsensusProblem< transformations_t >
setUniformIndices(std::vector< int > N)opengv::sac::MultiSampleConsensusProblem< transformations_t >
shuffled_indices_opengv::sac::MultiSampleConsensusProblem< transformations_t >
~MultiCentralRelativePoseSacProblem()opengv::sac_problems::relative_pose::MultiCentralRelativePoseSacProbleminlinevirtual
~MultiSampleConsensusProblem()opengv::sac::MultiSampleConsensusProblem< transformations_t >virtual