segmentation Tutorials¶
Plane model segmentation¶
In this tutorial, we will learn how to segment arbitrary plane models from a given point cloud dataset.
TestCode : examples/official/Segmentation/Plane_model_segmentation.py
Cylinder model segmentation¶
In this tutorial, we will learn how to segment arbitrary cylindrical models from a given point cloud dataset.
TestCode : examples/official/Segmentation/cylinder_segmentation.py
Euclidean Cluster Extraction¶
In this tutorial we will learn how to extract Euclidean clusters with the pcl::EuclideanClusterExtraction class.
TestCode : examples/official/Segmentation/cluster_extraction.py
Region growing segmentation¶
In this tutorial we will learn how to use region growing segmentation algorithm.
TestCode : None
Color-based region growing segmentation¶
In this tutorial we will learn how to use color-based region growing segmentation algorithm.
TestCode : None
Min-Cut Based Segmentation¶
In this tutorial we will learn how to use min-cut based segmentation algorithm.
TestCode : None
Conditional Euclidean Clustering¶
This tutorial describes how to use the Conditional Euclidean Clustering class in PCL: A segmentation algorithm that clusters points based on Euclidean distance and a user-customizable condition that needs to hold.
TestCode : None
Difference of Normals Based Segmentation¶
In this tutorial we will learn how to use the difference of normals feature for segmentation.
TestCode : None
Clustering of Pointclouds into Supervoxels - Theoretical primer¶
In this tutorial, we show to break a pointcloud into the mid-level supervoxel representation.
TestCode : None
Identifying ground returns using ProgressiveMorphologicalFilter segmentation¶
In this tutorial, we show how to segment a point cloud into ground and non-ground returns.
TestCode : None