opencv2/geometry/segment.hpp

This graph shows which files directly or indirectly include segment.hpp:

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 {
SAC_METHOD_RANSAC
}

type of the robust estimation algorithm More…

enum cv::SacModelType {
SAC_MODEL_PLANE,
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.