, including all inherited members.
| align(PointCloudSource &output) | pcl::Registration< PointSource, PointTarget > | [inline] |
| align(PointCloudSource &output, const Eigen::Matrix4f &guess) | pcl::Registration< PointSource, PointTarget > | [inline] |
| computeErrorMetric(const PointCloudSource &cloud, float threshold) | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [protected] |
| computeTransformation(PointCloudSource &output, const Eigen::Matrix4f &guess) | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [protected, virtual] |
| ConstPtr typedef | pcl::Registration< PointSource, PointTarget > | |
| converged_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| corr_dist_threshold_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| correspondence_distances_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| deinitCompute() | pcl::PCLBase< PointSource > | [inline, protected] |
| error_functor_ | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [protected] |
| euclidean_fitness_epsilon_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| fake_indices_ | pcl::PCLBase< PointSource > | [protected] |
| feature_tree_ | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [protected] |
| FeatureCloud typedef | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | |
| FeatureCloudConstPtr typedef | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | |
| FeatureCloudPtr typedef | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | |
| FeatureKdTreePtr typedef | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | |
| final_transformation_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| findSimilarFeatures(const FeatureCloud &input_features, const std::vector< int > &sample_indices, std::vector< int > &corresponding_indices) | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [protected] |
| getClassName() const | pcl::Registration< PointSource, PointTarget > | [inline] |
| getCorrespondenceRandomness() | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [inline] |
| getErrorFunction() | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [inline] |
| getEuclideanFitnessEpsilon() | pcl::Registration< PointSource, PointTarget > | [inline] |
| getFinalTransformation() | pcl::Registration< PointSource, PointTarget > | [inline] |
| getFitnessScore(double max_range=std::numeric_limits< double >::max()) | pcl::Registration< PointSource, PointTarget > | [inline] |
| getFitnessScore(const std::vector< float > &distances_a, const std::vector< float > &distances_b) | pcl::Registration< PointSource, PointTarget > | [inline] |
| getIndices() | pcl::PCLBase< PointSource > | [inline] |
| getInputCloud() | pcl::PCLBase< PointSource > | [inline] |
| getInputTarget() | pcl::Registration< PointSource, PointTarget > | [inline] |
| getLastIncrementalTransformation() | pcl::Registration< PointSource, PointTarget > | [inline] |
| getMaxCorrespondenceDistance() | pcl::Registration< PointSource, PointTarget > | [inline] |
| getMaximumIterations() | pcl::Registration< PointSource, PointTarget > | [inline] |
| getMinSampleDistance() | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [inline] |
| getNumberOfSamples() | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [inline] |
| getRandomIndex(int n) | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [inline, protected] |
| getRANSACIterations() | pcl::Registration< PointSource, PointTarget > | [inline] |
| getRANSACOutlierRejectionThreshold() | pcl::Registration< PointSource, PointTarget > | [inline] |
| getSourceFeatures() | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [inline] |
| getTargetFeatures() | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [inline] |
| getTransformationEpsilon() | pcl::Registration< PointSource, PointTarget > | [inline] |
| hasConverged() | pcl::Registration< PointSource, PointTarget > | [inline] |
| indices_ | pcl::PCLBase< PointSource > | [protected] |
| initCompute() | pcl::PCLBase< PointSource > | [inline, protected] |
| inlier_threshold_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| input_ | pcl::PCLBase< PointSource > | [protected] |
| input_features_ | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [protected] |
| k_correspondences_ | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [protected] |
| KdTree typedef | pcl::Registration< PointSource, PointTarget > | |
| KdTreePtr typedef | pcl::Registration< PointSource, PointTarget > | |
| max_iterations_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| min_number_correspondences_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| min_sample_distance_ | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [protected] |
| nr_iterations_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| nr_samples_ | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [protected] |
| operator[](size_t pos) | pcl::PCLBase< PointSource > | [inline] |
| PCLBase() | pcl::PCLBase< PointSource > | [inline] |
| PCLBase(const PCLBase &base) | pcl::PCLBase< PointSource > | [inline] |
| PointCloud typedef | pcl::PCLBase< PointSource > | |
| PointCloudConstPtr typedef | pcl::PCLBase< PointSource > | |
| PointCloudPtr typedef | pcl::PCLBase< PointSource > | |
| PointCloudSource typedef | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | |
| PointCloudSourceConstPtr typedef | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | |
| PointCloudSourcePtr typedef | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | |
| PointCloudTarget typedef | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | |
| PointCloudTargetConstPtr typedef | pcl::Registration< PointSource, PointTarget > | |
| PointCloudTargetPtr typedef | pcl::Registration< PointSource, PointTarget > | |
| PointIndicesConstPtr typedef | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | |
| PointIndicesPtr typedef | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | |
| PointRepresentationConstPtr typedef | pcl::Registration< PointSource, PointTarget > | |
| previous_transformation_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| Ptr typedef | pcl::Registration< PointSource, PointTarget > | |
| ransac_iterations_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| reg_name_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| registerVisualizationCallback(boost::function< FunctionSignature > &visualizerCallback) | pcl::Registration< PointSource, PointTarget > | [inline] |
| Registration() | pcl::Registration< PointSource, PointTarget > | [inline] |
| SampleConsensusInitialAlignment() | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [inline] |
| searchForNeighbors(const PointCloudSource &cloud, int index, std::vector< int > &indices, std::vector< float > &distances) | pcl::Registration< PointSource, PointTarget > | [inline, protected] |
| selectSamples(const PointCloudSource &cloud, int nr_samples, float min_sample_distance, std::vector< int > &sample_indices) | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [protected] |
| setCorrespondenceRandomness(int k) | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [inline] |
| setErrorFunction(const boost::shared_ptr< ErrorFunctor > &error_functor) | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [inline] |
| setEuclideanFitnessEpsilon(double epsilon) | pcl::Registration< PointSource, PointTarget > | [inline] |
| setIndices(const IndicesPtr &indices) | pcl::PCLBase< PointSource > | [inline] |
| setIndices(const IndicesConstPtr &indices) | pcl::PCLBase< PointSource > | [inline] |
| setIndices(const PointIndicesConstPtr &indices) | pcl::PCLBase< PointSource > | [inline] |
| setIndices(size_t row_start, size_t col_start, size_t nb_rows, size_t nb_cols) | pcl::PCLBase< PointSource > | [inline] |
| setInputCloud(const PointCloudConstPtr &cloud) | pcl::PCLBase< PointSource > | [inline, virtual] |
| setInputTarget(const PointCloudTargetConstPtr &cloud) | pcl::Registration< PointSource, PointTarget > | [inline, virtual] |
| setMaxCorrespondenceDistance(double distance_threshold) | pcl::Registration< PointSource, PointTarget > | [inline] |
| setMaximumIterations(int nr_iterations) | pcl::Registration< PointSource, PointTarget > | [inline] |
| setMinSampleDistance(float min_sample_distance) | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [inline] |
| setNumberOfSamples(int nr_samples) | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [inline] |
| setPointRepresentation(const PointRepresentationConstPtr &point_representation) | pcl::Registration< PointSource, PointTarget > | [inline] |
| setRANSACIterations(int ransac_iterations) | pcl::Registration< PointSource, PointTarget > | [inline] |
| setRANSACOutlierRejectionThreshold(double inlier_threshold) | pcl::Registration< PointSource, PointTarget > | [inline] |
| setSourceFeatures(const FeatureCloudConstPtr &features) | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | |
| setTargetFeatures(const FeatureCloudConstPtr &features) | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | |
| setTransformationEpsilon(double epsilon) | pcl::Registration< PointSource, PointTarget > | [inline] |
| setTransformationEstimation(const TransformationEstimationPtr &te) | pcl::Registration< PointSource, PointTarget > | [inline] |
| target_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| target_features_ | pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT > | [protected] |
| transformation_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| transformation_epsilon_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| transformation_estimation_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| TransformationEstimation typedef | pcl::Registration< PointSource, PointTarget > | |
| TransformationEstimationConstPtr typedef | pcl::Registration< PointSource, PointTarget > | |
| TransformationEstimationPtr typedef | pcl::Registration< PointSource, PointTarget > | |
| tree_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| update_visualizer_ | pcl::Registration< PointSource, PointTarget > | [protected] |
| use_indices_ | pcl::PCLBase< PointSource > | [protected] |
| ~PCLBase() | pcl::PCLBase< PointSource > | [inline, virtual] |
| ~Registration() | pcl::Registration< PointSource, PointTarget > | [inline, virtual] |