PCL (Point Cloud Library) is a large cross-platform open source C++ programming library built on the basis of previous point cloud-related research. It implements a large number of point cloud-related general algorithms and efficient data structures. , involving point cloud acquisition, filtering, segmentation, registration, retrieval, feature extraction, recognition, tracking, surface reconstruction, visualization, etc.
Supports multiple operating system platforms and can run on Windows, Linux, Android, Mac OS X, and some embedded real-time systems. If OpenCV is the crystallization of 2D information acquisition and processing, then PCL has the same status in 3D information acquisition and processing. PCL is a BSD authorized method and can be used for free commercial and academic applications.
Extended information
PCL uses advanced high-performance computing technologies such as OpenMP, GPU, and CUDA to improve the real-time performance of programs through parallelization. The architecture of the K nearest neighbor search operation is based on FLANN (Fast Library for Approximate Nearest Neighbors), and the speed is also the fastest among current technologies.
All modules and algorithms in PCL transfer data through Boost shared pointers, thus avoiding the need to copy data that already exists in the system multiple times. Starting from version 0.6, PCL It has been moved to Windows, MacOS and Linux systems, and has also been put into use on Android systems, which makes PCL applications easy to port and publish to multiple parties.
Baidu Encyclopedia-PCL