, including all inherited members.
| computeModelCoefficients(const std::vector< int > &samples, Eigen::VectorXf &model_coefficients) | pcl::SampleConsensusModelSphere< PointT > | [inline, virtual] |
| ConstPtr typedef | pcl::SampleConsensusModel< PointT > | |
| doSamplesVerifyModel(const std::set< int > &indices, const Eigen::VectorXf &model_coefficients, double threshold) | pcl::SampleConsensusModelSphere< PointT > | [inline, virtual] |
| functionToOptimize(void *p, int m, int n, const double *x, double *fvec, int iflag) | pcl::SampleConsensusModelSphere< PointT > | [inline, private, static] |
| getDistancesToModel(const Eigen::VectorXf &model_coefficients, std::vector< double > &distances) | pcl::SampleConsensusModelSphere< PointT > | [inline, virtual] |
| getIndices() const | pcl::SampleConsensusModel< PointT > | [inline] |
| getInputCloud() const | pcl::SampleConsensusModel< PointT > | [inline] |
| getModelType() const | pcl::SampleConsensusModelSphere< PointT > | [inline, virtual] |
| getRadiusLimits(double &min_radius, double &max_radius) | pcl::SampleConsensusModel< PointT > | [inline] |
| getSamples(int &iterations, std::vector< int > &samples) | pcl::SampleConsensusModelSphere< PointT > | [inline, virtual] |
| getSampleSize() const | pcl::SampleConsensusModel< PointT > | [inline] |
| indices_ | pcl::SampleConsensusModel< PointT > | [protected] |
| input_ | pcl::SampleConsensusModel< PointT > | [protected] |
| isModelValid(const Eigen::VectorXf &model_coefficients) | pcl::SampleConsensusModelSphere< PointT > | [inline, protected, virtual] |
| MAX_ITERATIONS_COLLINEAR | pcl::SampleConsensusModelSphere< PointT > | [private, static] |
| optimizeModelCoefficients(const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, Eigen::VectorXf &optimized_coefficients) | pcl::SampleConsensusModelSphere< PointT > | [inline, virtual] |
| PointCloud typedef | pcl::SampleConsensusModelSphere< PointT > | |
| PointCloudConstPtr typedef | pcl::SampleConsensusModelSphere< PointT > | |
| PointCloudPtr typedef | pcl::SampleConsensusModelSphere< PointT > | |
| ProgressiveSampleConsensus< PointT > class | pcl::SampleConsensusModel< PointT > | [friend] |
| projectPoints(const std::vector< int > &inliers, const Eigen::VectorXf &model_coefficients, PointCloud &projected_points, bool copy_data_fields=true) | pcl::SampleConsensusModelSphere< PointT > | [inline, virtual] |
| Ptr typedef | pcl::SampleConsensusModelSphere< PointT > | |
| radius_max_ | pcl::SampleConsensusModel< PointT > | [protected] |
| radius_min_ | pcl::SampleConsensusModel< PointT > | [protected] |
| SampleConsensusModel(const PointCloudConstPtr &cloud) | pcl::SampleConsensusModel< PointT > | [inline] |
| SampleConsensusModel(const PointCloudConstPtr &cloud, const std::vector< int > &indices) | pcl::SampleConsensusModel< PointT > | [inline] |
| SampleConsensusModelSphere(const PointCloudConstPtr &cloud) | pcl::SampleConsensusModelSphere< PointT > | [inline] |
| SampleConsensusModelSphere(const PointCloudConstPtr &cloud, const std::vector< int > &indices) | pcl::SampleConsensusModelSphere< PointT > | [inline] |
| selectWithinDistance(const Eigen::VectorXf &model_coefficients, double threshold, std::vector< int > &inliers) | pcl::SampleConsensusModelSphere< PointT > | [inline, virtual] |
| setIndices(const IndicesPtr &indices) | pcl::SampleConsensusModel< PointT > | [inline] |
| setIndices(std::vector< int > &indices) | pcl::SampleConsensusModel< PointT > | [inline] |
| setInputCloud(const PointCloudConstPtr &cloud) | pcl::SampleConsensusModel< PointT > | [inline, virtual] |
| setRadiusLimits(const double &min_radius, const double &max_radius) | pcl::SampleConsensusModel< PointT > | [inline] |
| tmp_inliers_ | pcl::SampleConsensusModelSphere< PointT > | [private] |
| tmp_mutex_ | pcl::SampleConsensusModelSphere< PointT > | [private] |
| ~SampleConsensusModel() | pcl::SampleConsensusModel< PointT > | [inline, virtual] |
