PointCloudLibrary/pcl

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

11101 stars · 4697 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The Point Cloud Library (PCL) is a large-scale, modular open-source C++ library for 2D/3D image and point cloud processing. It provides state-of-the-art algorithms for filtering, feature estimation, registration, segmentation, surface reconstruction, object recognition, and visualization, released under the BSD license.

Use cases

• filter outliers from noisy 3D point cloud data
• stitch or register multiple 3D point clouds together
• segment objects out of a 3D scene from a depth camera or lidar
• extract keypoints and compute descriptors to recognize objects by geometry
• reconstruct a 3D surface or mesh from a point cloud
• visualize and perform I/O on point cloud data from 3D scanners

When to choose

• you need a comprehensive, battle-tested C++ toolkit for point cloud processing
• you work with 3D sensors like lidar, stereo cameras, or time-of-flight cameras
• you need modular libraries covering the full pipeline from I/O to recognition
• you need a permissively licensed (BSD) library usable in commercial products

When to avoid

• you need a lightweight Python-first point cloud workflow (consider Open3D instead)
• your project is not in C++ or lacks the ability to build large native dependencies
• you only need simple mesh processing without point cloud algorithms
• you need GPU-accelerated real-time processing out of the box without extra setup

Facets

library · maturity stable

image-processing computer-vision graphics data-visualization file-system math computer-vision robotics graphics cpp windows cross-platform point-cloud 3d-processing lidar depth-cameras 3d-scanning registration segmentation surface-reconstruction algorithms linux macos android

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