PointCloudLibrary/pcl

Point Cloud Library (PCL)

What it solves

It provides a large-scale, standalone framework for processing 2D and 3D images and point clouds, enabling developers to handle complex spatial data for research and commercial applications.

How it works

PCL acts as a comprehensive library of algorithms and tools specifically designed for the manipulation and analysis of point cloud data (sets of data points in space).

Who it’s for

Researchers and developers working in fields that require 3D perception, such as robotics, autonomous systems, and 3D imaging.

Highlights

  • Large-scale open-source project
  • Supports 2D/3D image and point cloud processing
  • BSD licensed for both commercial and research use
  • Cross-platform support for Linux, macOS, and Windows

Related

  • Project
    ros-perception/perception_pcl

    A ROS interface stack that bridges the Point Cloud Library (PCL) with ROS for 3D geometry processing and n-D point cloud handling.

  • Project
    isl-org/Open3D

    Open3D is a modern library for 3D data processing that provides optimized tools for point cloud and mesh manipulation, visualization, and 3D machine learning.

  • Project
    InternRobotics/PointLLM

    PointLLM is a multi-modal large language model that enables LLMs to understand colored 3D point clouds for tasks like object classification and captioning.

  • Project
    guochengqian/openpoints

    A library for benchmarking and reproducing point-based methods for point cloud understanding, providing a standardized engine for models like PointNet and PointNeXt.

  • Project
    theICTlab/3DUNDERWORLD-SLS-GPU_CPU

    A structured light scanning tool that reconstructs 3D point clouds from images of objects lit by patterned light, featuring both CPU and GPU acceleration.