ptcloud.hpp File Reference

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Classes
class	cv::RegionGrowing3D
	Region Growing algorithm in 3D point cloud. More...
class	cv::SACSegmentation
	Sample Consensus algorithm segmentation of 3D point cloud model. More...

Namespaces
namespace	cv

Enumerations
enum	cv::SacMethod { cv::SAC_METHOD_RANSAC }
	type of the robust estimation algorithm More...
enum	cv::SacModelType {   cv::SAC_MODEL_PLANE ,   cv::SAC_MODEL_SPHERE }

Functions
int	cv::farthestPointSampling (OutputArray sampled_point_flags, InputArray input_pts, float sampled_scale, float dist_lower_limit=0, RNG *rng=nullptr)
int	cv::farthestPointSampling (OutputArray sampled_point_flags, InputArray input_pts, int sampled_pts_size, float dist_lower_limit=0, RNG *rng=nullptr)
	Point cloud sampling by Farthest Point Sampling(FPS).
void	cv::normalEstimate (OutputArray normals, OutputArray curvatures, InputArray input_pts, InputArrayOfArrays nn_idx, int max_neighbor_num=0)
	Estimate the normal and curvature of each point in point cloud from NN results.
void	cv::randomSampling (OutputArray sampled_pts, InputArray input_pts, float sampled_scale, RNG *rng=nullptr)
void	cv::randomSampling (OutputArray sampled_pts, InputArray input_pts, int sampled_pts_size, RNG *rng=nullptr)
	Point cloud sampling by randomly select points.
int	cv::voxelGridSampling (OutputArray sampled_point_flags, InputArray input_pts, float length, float width, float height)
	Point cloud sampling by Voxel Grid filter downsampling.