drprojects/point_geometric_features
Python wrapper around C++ utilities for computing neighbors and local geometric features of a point cloud
This tool helps scientists and engineers quickly analyze 3D point cloud data by computing essential geometric properties for each point, such as linearity, planarity, and surface area. You input raw 3D point cloud data, and it outputs calculated geometric features and optimal neighborhood sizes, which are crucial for understanding the shape and structure of objects in the cloud. This is ideal for professionals working with LiDAR scans, 3D models, or other spatial datasets.
Use this if you need to rapidly extract local geometric characteristics from large 3D point clouds to classify objects, analyze terrain, or perform spatial segmentation.
Not ideal if your point cloud data uses `double` precision coordinates or involves extremely large integer indices, as it primarily supports `float` and `uint32` types.
Stars
73
Forks
7
Language
C++
License
MIT
Category
Last pushed
Oct 16, 2025
Commits (30d)
0
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