| _adapter | opengv::sac_problems::absolute_pose::MultiNoncentralAbsolutePoseSacProblem | protected |
| _asCentral | opengv::sac_problems::absolute_pose::MultiNoncentralAbsolutePoseSacProblem | protected |
| adapter_t typedef | opengv::sac_problems::absolute_pose::MultiNoncentralAbsolutePoseSacProblem | |
| computeModelCoefficients(const std::vector< std::vector< int > > &indices, model_t &outModel) const | opengv::sac_problems::absolute_pose::MultiNoncentralAbsolutePoseSacProblem | virtual |
| countWithinDistance(const model_t &model_coefficients, const double threshold) | opengv::sac::MultiSampleConsensusProblem< transformation_t > | virtual |
| drawIndexSample(std::vector< std::vector< int > > &sample) | opengv::sac::MultiSampleConsensusProblem< transformation_t > | |
| getDistancesToModel(const model_t &model_coefficients, std::vector< std::vector< double > > &distances) | opengv::sac::MultiSampleConsensusProblem< transformation_t > | virtual |
| getIndices() const | opengv::sac::MultiSampleConsensusProblem< transformation_t > | |
| getSamples(int &iterations, std::vector< std::vector< int > > &samples) | opengv::sac::MultiSampleConsensusProblem< transformation_t > | virtual |
| getSampleSizes() const | opengv::sac_problems::absolute_pose::MultiNoncentralAbsolutePoseSacProblem | virtual |
| getSelectedDistancesToModel(const model_t &model, const std::vector< std::vector< int > > &indices, std::vector< std::vector< double > > &scores) const | opengv::sac_problems::absolute_pose::MultiNoncentralAbsolutePoseSacProblem | virtual |
| indices_ | opengv::sac::MultiSampleConsensusProblem< transformation_t > | |
| isSampleGood(const std::vector< std::vector< int > > &sample) const | opengv::sac::MultiSampleConsensusProblem< transformation_t > | virtual |
| max_sample_checks_ | opengv::sac::MultiSampleConsensusProblem< transformation_t > | |
| model_t typedef | opengv::sac_problems::absolute_pose::MultiNoncentralAbsolutePoseSacProblem | |
| MultiNoncentralAbsolutePoseSacProblem(adapter_t &adapter, bool asCentral=false) | opengv::sac_problems::absolute_pose::MultiNoncentralAbsolutePoseSacProblem | inline |
| MultiNoncentralAbsolutePoseSacProblem(adapter_t &adapter, const std::vector< std::vector< int > > &indices, bool asCentral=false) | opengv::sac_problems::absolute_pose::MultiNoncentralAbsolutePoseSacProblem | inline |
| MultiSampleConsensusProblem(bool randomSeed=true) | opengv::sac::MultiSampleConsensusProblem< transformation_t > | |
| optimizeModelCoefficients(const std::vector< std::vector< int > > &inliers, const model_t &model, model_t &optimized_model) | opengv::sac_problems::absolute_pose::MultiNoncentralAbsolutePoseSacProblem | virtual |
| rnd() | opengv::sac::MultiSampleConsensusProblem< transformation_t > | |
| rng_alg_ | opengv::sac::MultiSampleConsensusProblem< transformation_t > | |
| rng_dist_ | opengv::sac::MultiSampleConsensusProblem< transformation_t > | |
| rng_gen_ | opengv::sac::MultiSampleConsensusProblem< transformation_t > | |
| selectWithinDistance(const model_t &model_coefficients, const double threshold, std::vector< std::vector< int > > &inliers) | opengv::sac::MultiSampleConsensusProblem< transformation_t > | virtual |
| setIndices(const std::vector< std::vector< int > > &indices) | opengv::sac::MultiSampleConsensusProblem< transformation_t > | |
| setUniformIndices(std::vector< int > N) | opengv::sac::MultiSampleConsensusProblem< transformation_t > | |
| shuffled_indices_ | opengv::sac::MultiSampleConsensusProblem< transformation_t > | |
| ~MultiNoncentralAbsolutePoseSacProblem() | opengv::sac_problems::absolute_pose::MultiNoncentralAbsolutePoseSacProblem | inlinevirtual |
| ~MultiSampleConsensusProblem() | opengv::sac::MultiSampleConsensusProblem< transformation_t > | virtual |