, including all inherited members.
classes_ | pcl::NNClassification< PointT > | [private] |
classify(const PointT &p_q, double radius, float gaussian_param, int max_nn=INT_MAX) | pcl::NNClassification< PointT > | [inline] |
getGaussianBestScores(float gaussian_param, std::vector< int > &k_indices, std::vector< float > &k_sqr_distances) | pcl::NNClassification< PointT > | [inline] |
getKNearestExemplars(const PointT &p_q, int k, std::vector< int > &k_indices, std::vector< float > &k_sqr_distances) | pcl::NNClassification< PointT > | [inline] |
getLinearBestScores(std::vector< int > &k_indices, std::vector< float > &k_sqr_distances) | pcl::NNClassification< PointT > | [inline] |
getSimilarExemplars(const PointT &p_q, double radius, std::vector< int > &k_indices, std::vector< float > &k_sqr_distances, int max_nn=INT_MAX) | pcl::NNClassification< PointT > | [inline] |
getSmallestSquaredDistances(std::vector< int > &k_indices, std::vector< float > &k_sqr_distances) | pcl::NNClassification< PointT > | [inline] |
labels_idx_ | pcl::NNClassification< PointT > | [private] |
loadTrainingFeatures(std::string file_name, std::string labels_file_name) | pcl::NNClassification< PointT > | [inline] |
NNClassification() | pcl::NNClassification< PointT > | [inline] |
Result typedef | pcl::NNClassification< PointT > | |
ResultPtr typedef | pcl::NNClassification< PointT > | |
saveTrainingFeatures(std::string file_name, std::string labels_file_name) | pcl::NNClassification< PointT > | [inline] |
setTrainingFeatures(const typename pcl::PointCloud< PointT >::ConstPtr &features) | pcl::NNClassification< PointT > | [inline] |
setTrainingLabelIndicesAndLUT(const std::vector< std::string > &classes, const std::vector< int > &labels_idx) | pcl::NNClassification< PointT > | [inline] |
setTrainingLabels(const std::vector< std::string > &labels) | pcl::NNClassification< PointT > | [inline] |
tree_ | pcl::NNClassification< PointT > | [private] |