, including all inherited members.
| axis_ | pcl::SACModelOrientation< NormalT > | |
| back_indices_ | pcl::SACModelOrientation< NormalT > | [private] |
| computeModelCoefficients(const std::vector< int > &samples, Eigen::VectorXf &model_coefficients) | pcl::SACModelOrientation< NormalT > | [virtual] |
| ConstPtr typedef | pcl::SACModelOrientation< NormalT > | |
| countWithinDistance(const Eigen::VectorXf &model_coefficients, double threshold) | pcl::SACModelOrientation< NormalT > | [inline, virtual] |
| doSamplesVerifyModel(const std::set< int > &indices, const Eigen::VectorXf &model_coefficients, double threshold) | pcl::SACModelOrientation< NormalT > | [inline, virtual] |
| drawIndexSample(std::vector< int > &sample) | pcl::SampleConsensusModel< NormalT > | [protected] |
| drawIndexSampleRadius(std::vector< int > &sample) | pcl::SampleConsensusModel< NormalT > | [protected] |
| front_indices_ | pcl::SACModelOrientation< NormalT > | [private] |
| getAxis() const | pcl::SACModelOrientation< NormalT > | [inline] |
| getDistancesToModel(const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) | pcl::SACModelOrientation< NormalT > | [inline, virtual] |
| getIndices() const | pcl::SampleConsensusModel< NormalT > | |
| getInputCloud() const | pcl::SampleConsensusModel< NormalT > | |
| getModelType() const | pcl::SACModelOrientation< NormalT > | [inline, virtual] |
| getRadiusLimits(double &min_radius, double &max_radius) | pcl::SampleConsensusModel< NormalT > | |
| getSamples(int &iterations, std::vector< int > &samples) | pcl::SACModelOrientation< NormalT > | |
| getSampleSize() const | pcl::SampleConsensusModel< NormalT > | |
| getSamplesMaxDist(double &radius) | pcl::SampleConsensusModel< NormalT > | |
| indices_ | pcl::SampleConsensusModel< NormalT > | [protected] |
| input_ | pcl::SampleConsensusModel< NormalT > | [protected] |
| isModelValid(const Eigen::VectorXf &model_coefficients) | pcl::SACModelOrientation< NormalT > | [inline, protected, virtual] |
| isSampleGood(const std::vector< int > &samples) const | pcl::SACModelOrientation< NormalT > | [virtual] |
| kdtree_ | pcl::SACModelOrientation< NormalT > | [private] |
| left_indices_ | pcl::SACModelOrientation< NormalT > | [private] |
| max_sample_checks_ | pcl::SampleConsensusModel< NormalT > | [protected, static] |
| Normals typedef | pcl::SACModelOrientation< NormalT > | |
| NormalsConstPtr typedef | pcl::SACModelOrientation< NormalT > | |
| NormalsPtr typedef | pcl::SACModelOrientation< NormalT > | |
| optimizeModelCoefficients(const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, Eigen::VectorXf &optimized_coefficients) | pcl::SACModelOrientation< NormalT > | [inline, virtual] |
| PointCloud typedef | pcl::SampleConsensusModel< NormalT > | |
| PointCloudConstPtr typedef | pcl::SampleConsensusModel< NormalT > | |
| PointCloudPtr typedef | pcl::SampleConsensusModel< NormalT > | |
| points_sqr_distances_ | pcl::SACModelOrientation< NormalT > | [private] |
| ProgressiveSampleConsensus | pcl::SampleConsensusModel< NormalT > | [friend] |
| projectPoints(const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, Normals &projected_points, bool copy_data_fields=true) | pcl::SACModelOrientation< NormalT > | [inline] |
| SampleConsensusModel< NormalT >::projectPoints(const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, PointCloud &projected_points, bool copy_data_fields=true)=0 | pcl::SampleConsensusModel< NormalT > | [pure virtual] |
| Ptr typedef | pcl::SACModelOrientation< NormalT > | |
| radius_max_ | pcl::SampleConsensusModel< NormalT > | [protected] |
| radius_min_ | pcl::SampleConsensusModel< NormalT > | [protected] |
| refitModel(const std::vector< int > &inliers, std::vector< double > &refit_coefficients) | pcl::SACModelOrientation< NormalT > | |
| right_indices_ | pcl::SACModelOrientation< NormalT > | [private] |
| rnd() | pcl::SampleConsensusModel< NormalT > | [protected] |
| rng_alg_ | pcl::SampleConsensusModel< NormalT > | [protected] |
| rng_dist_ | pcl::SampleConsensusModel< NormalT > | [protected] |
| rng_gen_ | pcl::SampleConsensusModel< NormalT > | [protected] |
| SACModelOrientation(const NormalsConstPtr &cloud) | pcl::SACModelOrientation< NormalT > | [inline] |
| SACModelOrientation(const NormalsConstPtr &cloud, const std::vector< int > &indices) | pcl::SACModelOrientation< NormalT > | [inline] |
| SampleConsensusModel(const PointCloudConstPtr &cloud, bool random=false) | pcl::SampleConsensusModel< NormalT > | |
| SampleConsensusModel(const PointCloudConstPtr &cloud, const std::vector< int > &indices, bool random=false) | pcl::SampleConsensusModel< NormalT > | |
| SampleConsensusModel(bool random=false) | pcl::SampleConsensusModel< NormalT > | [protected] |
| samples_radius_ | pcl::SampleConsensusModel< NormalT > | [protected] |
| samples_radius_search_ | pcl::SampleConsensusModel< NormalT > | [protected] |
| SearchPtr typedef | pcl::SampleConsensusModel< NormalT > | |
| selectWithinDistance(const Eigen::VectorXf &model_coefficients, double threshold, std::vector< int > &inliers) | pcl::SACModelOrientation< NormalT > | [virtual] |
| setAxis(Eigen::Vector3f axis) | pcl::SACModelOrientation< NormalT > | [inline] |
| setIndices(const boost::shared_ptr< std::vector< int > > &indices) | pcl::SampleConsensusModel< NormalT > | |
| setIndices(const std::vector< int > &indices) | pcl::SampleConsensusModel< NormalT > | |
| setInputCloud(const PointCloudConstPtr &cloud) | pcl::SampleConsensusModel< NormalT > | [virtual] |
| setRadiusLimits(const double &min_radius, const double &max_radius) | pcl::SampleConsensusModel< NormalT > | |
| setSamplesMaxDist(const double &radius, SearchPtr search) | pcl::SampleConsensusModel< NormalT > | |
| shuffled_indices_ | pcl::SampleConsensusModel< NormalT > | [protected] |
| ~SampleConsensusModel() | pcl::SampleConsensusModel< NormalT > | [virtual] |
