, including all inherited members.
| axis_ | sample_consensus::SACModelNormalPlane | [protected] |
| best_inliers_ | sample_consensus::SACModel | [protected] |
| best_model_ | sample_consensus::SACModel | [protected] |
| cloud_ | sample_consensus::SACModel | [protected] |
| computeModelCoefficients(const std::vector< int > &samples) | sample_consensus::SACModelPlane | [virtual] |
| dist_ | sample_consensus::SACModelNormalPlane | [protected] |
| doSamplesVerifyModel(const std::set< int > &indices, double threshold) | sample_consensus::SACModelPlane | [virtual] |
| eps_angle_ | sample_consensus::SACModelNormalPlane | [protected] |
| eps_dist_ | sample_consensus::SACModelNormalPlane | [protected] |
| functionToOptimize(void *p, int m, int n, const double *x, double *fvec, int iflag) | sample_consensus::SACModelPlane | [static] |
| getBestInliers() | sample_consensus::SACModel | [inline] |
| getBestModel() | sample_consensus::SACModel | [inline] |
| getCloud() | sample_consensus::SACModel | [inline] |
| getDistancesToModel(const std::vector< double > &model_coefficients, std::vector< double > &distances) | sample_consensus::SACModelNormalPlane | [virtual] |
| getIndices() | sample_consensus::SACModel | [inline] |
| getModelCoefficients() | sample_consensus::SACModel | [inline] |
| getModelType() | sample_consensus::SACModelNormalPlane | [inline, virtual] |
| getSamples(int &iterations, std::vector< int > &samples) | sample_consensus::SACModelPlane | [virtual] |
| indices_ | sample_consensus::SACModel | [protected] |
| model_coefficients_ | sample_consensus::SACModel | [protected] |
| normal_distance_weight_ | sample_consensus::SACModelNormalPlane | [protected] |
| projectPoints(const std::vector< int > &inliers, const std::vector< double > &model_coefficients, sensor_msgs::PointCloud &projected_points) | sample_consensus::SACModelPlane | [virtual] |
| projectPointsInPlace(const std::vector< int > &inliers, const std::vector< double > &model_coefficients) | sample_consensus::SACModelPlane | [virtual] |
| refitModel(const std::vector< int > &inliers, std::vector< double > &refit_coefficients) | sample_consensus::SACModelPlane | [virtual] |
| removeInliers() | sample_consensus::SACModel | [virtual] |
| SACModel() | sample_consensus::SACModel | [inline] |
| SACModel(sensor_msgs::PointCloud cloud) | sample_consensus::SACModel | [inline] |
| SACModelNormalPlane() | sample_consensus::SACModelNormalPlane | [inline] |
| SACModelPlane() | sample_consensus::SACModelPlane | [inline] |
| selectWithinDistance(const std::vector< double > &model_coefficients, double threshold, std::vector< int > &inliers) | sample_consensus::SACModelNormalPlane | [virtual] |
| setAxis(const geometry_msgs::Point32 &ax) | sample_consensus::SACModelNormalPlane | [inline] |
| setBestInliers(const std::vector< int > &best_inliers) | sample_consensus::SACModel | [inline] |
| setBestModel(std::vector< int > best_model) | sample_consensus::SACModel | [inline] |
| setDataIndices(std::vector< int > indices) | sample_consensus::SACModel | [inline] |
| setDataSet(sensor_msgs::PointCloud *cloud) | sample_consensus::SACModel | [inline] |
| setDataSet(sensor_msgs::PointCloud *cloud, std::vector< int > indices) | sample_consensus::SACModel | [inline] |
| setDist(double d) | sample_consensus::SACModelNormalPlane | [inline] |
| setEpsAngle(double ea) | sample_consensus::SACModelNormalPlane | [inline] |
| setEpsDist(double delta) | sample_consensus::SACModelNormalPlane | [inline] |
| setNormalDistanceWeight(double w) | sample_consensus::SACModelNormalPlane | [inline] |
| testModelCoefficients(const std::vector< double > &model_coefficients) | sample_consensus::SACModelPlane | [inline, virtual] |
| ~SACModel() | sample_consensus::SACModel | [inline, virtual] |
| ~SACModelPlane() | sample_consensus::SACModelPlane | [inline, virtual] |
