OpenGV
A library for solving calibrated central and non-central geometric vision problems
opengv::sac::MultiSampleConsensusProblem< MODEL_T > Member List

This is the complete list of members for opengv::sac::MultiSampleConsensusProblem< MODEL_T >, including all inherited members.

computeModelCoefficients(const std::vector< std::vector< int > > &indices, model_t &outModel) const =0opengv::sac::MultiSampleConsensusProblem< MODEL_T >pure virtual
countWithinDistance(const model_t &model_coefficients, const double threshold)opengv::sac::MultiSampleConsensusProblem< MODEL_T >virtual
drawIndexSample(std::vector< std::vector< int > > &sample)opengv::sac::MultiSampleConsensusProblem< MODEL_T >
getDistancesToModel(const model_t &model_coefficients, std::vector< std::vector< double > > &distances)opengv::sac::MultiSampleConsensusProblem< MODEL_T >virtual
getIndices() const opengv::sac::MultiSampleConsensusProblem< MODEL_T >
getSamples(int &iterations, std::vector< std::vector< int > > &samples)opengv::sac::MultiSampleConsensusProblem< MODEL_T >virtual
getSampleSizes() const =0opengv::sac::MultiSampleConsensusProblem< MODEL_T >pure virtual
getSelectedDistancesToModel(const model_t &model, const std::vector< std::vector< int > > &indices, std::vector< std::vector< double > > &scores) const =0opengv::sac::MultiSampleConsensusProblem< MODEL_T >pure virtual
indices_opengv::sac::MultiSampleConsensusProblem< MODEL_T >
isSampleGood(const std::vector< std::vector< int > > &sample) const opengv::sac::MultiSampleConsensusProblem< MODEL_T >virtual
max_sample_checks_opengv::sac::MultiSampleConsensusProblem< MODEL_T >
model_t typedefopengv::sac::MultiSampleConsensusProblem< MODEL_T >
MultiSampleConsensusProblem(bool randomSeed=true)opengv::sac::MultiSampleConsensusProblem< MODEL_T >
optimizeModelCoefficients(const std::vector< std::vector< int > > &inliers, const model_t &model_coefficients, model_t &optimized_coefficients)=0opengv::sac::MultiSampleConsensusProblem< MODEL_T >pure virtual
rnd()opengv::sac::MultiSampleConsensusProblem< MODEL_T >
rng_alg_opengv::sac::MultiSampleConsensusProblem< MODEL_T >
rng_dist_opengv::sac::MultiSampleConsensusProblem< MODEL_T >
rng_gen_opengv::sac::MultiSampleConsensusProblem< MODEL_T >
selectWithinDistance(const model_t &model_coefficients, const double threshold, std::vector< std::vector< int > > &inliers)opengv::sac::MultiSampleConsensusProblem< MODEL_T >virtual
setIndices(const std::vector< std::vector< int > > &indices)opengv::sac::MultiSampleConsensusProblem< MODEL_T >
setUniformIndices(std::vector< int > N)opengv::sac::MultiSampleConsensusProblem< MODEL_T >
shuffled_indices_opengv::sac::MultiSampleConsensusProblem< MODEL_T >
~MultiSampleConsensusProblem()opengv::sac::MultiSampleConsensusProblem< MODEL_T >virtual