| computeModelCoefficients(const Indices &samples, Eigen::VectorXf &model_coefficients) const =0 | pcl::SampleConsensusModel< PointT > | pure virtual |
| computeVariance(const std::vector< double > &error_sqr_dists) const | pcl::SampleConsensusModel< PointT > | inline |
| computeVariance() const | pcl::SampleConsensusModel< PointT > | inline |
| ConstPtr typedef | pcl::SampleConsensusModel< PointT > | |
| countWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold) const =0 | pcl::SampleConsensusModel< PointT > | pure virtual |
| custom_model_constraints_ | pcl::SampleConsensusModel< PointT > | protected |
| doSamplesVerifyModel(const std::set< index_t > &indices, const Eigen::VectorXf &model_coefficients, const double threshold) const =0 | pcl::SampleConsensusModel< PointT > | pure virtual |
| drawIndexSample(Indices &sample) | pcl::SampleConsensusModel< PointT > | inlineprotected |
| drawIndexSampleRadius(Indices &sample) | pcl::SampleConsensusModel< PointT > | inlineprotected |
| error_sqr_dists_ | pcl::SampleConsensusModel< PointT > | protected |
| getClassName() const | pcl::SampleConsensusModel< PointT > | inline |
| getDistancesToModel(const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) const =0 | pcl::SampleConsensusModel< PointT > | pure virtual |
| getIndices() const | pcl::SampleConsensusModel< PointT > | inline |
| getInputCloud() const | pcl::SampleConsensusModel< PointT > | inline |
| getModelSize() const | pcl::SampleConsensusModel< PointT > | inline |
| getModelType() const =0 | pcl::SampleConsensusModel< PointT > | pure virtual |
| getRadiusLimits(double &min_radius, double &max_radius) const | pcl::SampleConsensusModel< PointT > | inline |
| getSamples(int &iterations, Indices &samples) | pcl::SampleConsensusModel< PointT > | inlinevirtual |
| getSampleSize() const | pcl::SampleConsensusModel< PointT > | inline |
| getSamplesMaxDist(double &radius) const | pcl::SampleConsensusModel< PointT > | inline |
| indices_ | pcl::SampleConsensusModel< PointT > | protected |
| input_ | pcl::SampleConsensusModel< PointT > | protected |
| isModelValid(const Eigen::VectorXf &model_coefficients) const | pcl::SampleConsensusModel< PointT > | inlineprotectedvirtual |
| isSampleGood(const Indices &samples) const =0 | pcl::SampleConsensusModel< PointT > | protectedpure virtual |
| max_sample_checks_ | pcl::SampleConsensusModel< PointT > | protectedstatic |
| model_name_ | pcl::SampleConsensusModel< PointT > | protected |
| model_size_ | pcl::SampleConsensusModel< PointT > | protected |
| optimizeModelCoefficients(const Indices &inliers, const Eigen::VectorXf &model_coefficients, Eigen::VectorXf &optimized_coefficients) const =0 | pcl::SampleConsensusModel< PointT > | pure virtual |
| PointCloud typedef | pcl::SampleConsensusModel< PointT > | |
| PointCloudConstPtr typedef | pcl::SampleConsensusModel< PointT > | |
| PointCloudPtr typedef | pcl::SampleConsensusModel< PointT > | |
| ProgressiveSampleConsensus< PointT > class | pcl::SampleConsensusModel< PointT > | friend |
| projectPoints(const Indices &inliers, const Eigen::VectorXf &model_coefficients, PointCloud &projected_points, bool copy_data_fields=true) const =0 | pcl::SampleConsensusModel< PointT > | pure virtual |
| Ptr typedef | pcl::SampleConsensusModel< PointT > | |
| radius_max_ | pcl::SampleConsensusModel< PointT > | protected |
| radius_min_ | pcl::SampleConsensusModel< PointT > | protected |
| rnd() | pcl::SampleConsensusModel< PointT > | inlineprotected |
| rng_alg_ | pcl::SampleConsensusModel< PointT > | protected |
| rng_dist_ | pcl::SampleConsensusModel< PointT > | protected |
| rng_gen_ | pcl::SampleConsensusModel< PointT > | protected |
| sample_size_ | pcl::SampleConsensusModel< PointT > | protected |
| SampleConsensusModel(bool random=false) | pcl::SampleConsensusModel< PointT > | inlineprotected |
| SampleConsensusModel(const PointCloudConstPtr &cloud, bool random=false) | pcl::SampleConsensusModel< PointT > | inline |
| SampleConsensusModel(const PointCloudConstPtr &cloud, const Indices &indices, bool random=false) | pcl::SampleConsensusModel< PointT > | inline |
| samples_radius_ | pcl::SampleConsensusModel< PointT > | protected |
| samples_radius_search_ | pcl::SampleConsensusModel< PointT > | protected |
| SearchPtr typedef | pcl::SampleConsensusModel< PointT > | |
| selectWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold, Indices &inliers)=0 | pcl::SampleConsensusModel< PointT > | pure virtual |
| setIndices(const IndicesPtr &indices) | pcl::SampleConsensusModel< PointT > | inline |
| setIndices(const Indices &indices) | pcl::SampleConsensusModel< PointT > | inline |
| setInputCloud(const PointCloudConstPtr &cloud) | pcl::SampleConsensusModel< PointT > | inlinevirtual |
| setModelConstraints(std::function< bool(const Eigen::VectorXf &)> function) | pcl::SampleConsensusModel< PointT > | inline |
| setRadiusLimits(const double &min_radius, const double &max_radius) | pcl::SampleConsensusModel< PointT > | inline |
| setSamplesMaxDist(const double &radius, SearchPtr search) | pcl::SampleConsensusModel< PointT > | inline |
| shuffled_indices_ | pcl::SampleConsensusModel< PointT > | protected |
| ~SampleConsensusModel()=default | pcl::SampleConsensusModel< PointT > | virtual |