| computeModelCoefficients(const std::vector< int > &samples, Eigen::VectorXf &model_coefficients) | pcl::SampleConsensusModelCone< PointT, PointNT > | virtual |
| pcl::ConstPtr typedef | pcl::SampleConsensusModel< PointT > | |
| pcl::SampleConsensusModelFromNormals::ConstPtr typedef | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | |
| countWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold) | pcl::SampleConsensusModelCone< PointT, PointNT > | virtual |
| doSamplesVerifyModel(const std::set< int > &indices, const Eigen::VectorXf &model_coefficients, const double threshold) | pcl::SampleConsensusModelCone< PointT, PointNT > | virtual |
| getAxis() const | pcl::SampleConsensusModelCone< PointT, PointNT > | inline |
| getDistancesToModel(const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) | pcl::SampleConsensusModelCone< PointT, PointNT > | virtual |
| getEpsAngle() const | pcl::SampleConsensusModelCone< PointT, PointNT > | inline |
| getIndices() const | pcl::SampleConsensusModel< PointT > | inline |
| getInputCloud() const | pcl::SampleConsensusModel< PointT > | inline |
| getInputNormals() | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | inline |
| getMinMaxOpeningAngle(double &min_angle, double &max_angle) const | pcl::SampleConsensusModelCone< PointT, PointNT > | inline |
| getModelType() const | pcl::SampleConsensusModelCone< PointT, PointNT > | inlinevirtual |
| getNormalDistanceWeight() | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | inline |
| getRadiusLimits(double &min_radius, double &max_radius) | pcl::SampleConsensusModel< PointT > | inline |
| getSamples(int &iterations, std::vector< int > &samples) | pcl::SampleConsensusModel< PointT > | inline |
| getSampleSize() const | pcl::SampleConsensusModel< PointT > | inline |
| getSamplesMaxDist(double &radius) | pcl::SampleConsensusModel< PointT > | inline |
| operator=(const SampleConsensusModelCone &source) | pcl::SampleConsensusModelCone< PointT, PointNT > | inline |
| optimizeModelCoefficients(const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, Eigen::VectorXf &optimized_coefficients) | pcl::SampleConsensusModelCone< PointT, PointNT > | virtual |
| PointCloud typedef | pcl::SampleConsensusModelCone< PointT, PointNT > | |
| PointCloudConstPtr typedef | pcl::SampleConsensusModelCone< PointT, PointNT > | |
| PointCloudNConstPtr typedef | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | |
| PointCloudNPtr typedef | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | |
| PointCloudPtr typedef | pcl::SampleConsensusModelCone< PointT, PointNT > | |
| projectPoints(const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, PointCloud &projected_points, bool copy_data_fields=true) | pcl::SampleConsensusModelCone< PointT, PointNT > | virtual |
| Ptr typedef | pcl::SampleConsensusModelCone< PointT, PointNT > | |
| SampleConsensusModel(const PointCloudConstPtr &cloud, bool random=false) | pcl::SampleConsensusModel< PointT > | inline |
| SampleConsensusModel(const PointCloudConstPtr &cloud, const std::vector< int > &indices, bool random=false) | pcl::SampleConsensusModel< PointT > | inline |
| SampleConsensusModelCone(const PointCloudConstPtr &cloud) | pcl::SampleConsensusModelCone< PointT, PointNT > | inline |
| SampleConsensusModelCone(const PointCloudConstPtr &cloud, const std::vector< int > &indices) | pcl::SampleConsensusModelCone< PointT, PointNT > | inline |
| SampleConsensusModelCone(const SampleConsensusModelCone &source) | pcl::SampleConsensusModelCone< PointT, PointNT > | inline |
| SampleConsensusModelFromNormals() | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | inline |
| SearchPtr typedef | pcl::SampleConsensusModel< PointT > | |
| selectWithinDistance(const Eigen::VectorXf &model_coefficients, const double threshold, std::vector< int > &inliers) | pcl::SampleConsensusModelCone< PointT, PointNT > | virtual |
| setAxis(const Eigen::Vector3f &ax) | pcl::SampleConsensusModelCone< PointT, PointNT > | inline |
| setEpsAngle(double ea) | pcl::SampleConsensusModelCone< PointT, PointNT > | inline |
| setIndices(const boost::shared_ptr< std::vector< int > > &indices) | pcl::SampleConsensusModel< PointT > | inline |
| setIndices(const std::vector< int > &indices) | pcl::SampleConsensusModel< PointT > | inline |
| setInputCloud(const PointCloudConstPtr &cloud) | pcl::SampleConsensusModel< PointT > | inlinevirtual |
| setInputNormals(const PointCloudNConstPtr &normals) | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | inline |
| setMinMaxOpeningAngle(const double &min_angle, const double &max_angle) | pcl::SampleConsensusModelCone< PointT, PointNT > | inline |
| setNormalDistanceWeight(const double w) | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | inline |
| setRadiusLimits(const double &min_radius, const double &max_radius) | pcl::SampleConsensusModel< PointT > | inline |
| setSamplesMaxDist(const double &radius, SearchPtr search) | pcl::SampleConsensusModel< PointT > | inline |
| ~SampleConsensusModel() | pcl::SampleConsensusModel< PointT > | inlinevirtual |
| ~SampleConsensusModelFromNormals() | pcl::SampleConsensusModelFromNormals< PointT, PointNT > | inlinevirtual |
1.8.3.1