Point Cloud Library (PCL) is a new library under development to support n-D point clouds and 3D geometry processing. It contains a rapidly growing library of state-of-the-art algorithms for filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation, and more.
For the past few months, the PCL project has been growing in size, with more users and developers joining the project on a weekly basis. We're currently working hard on adding more functionality, while at the same time fixing bugs and improving the existing documentation.
To support its growing community, the PCL project got its own mailing list today: pcl-users@code.ros.org. As PCL can be used independently of ROS, we hope that this new mailing list will be a good forum for integrating PCL with a variety of systems, as well as discussing the design and development of new state-of-the-art perception algorithms.
PCL also has a new, easier-to-remember URL: http://pcl.ros.org. There are already many tutorials, FAQ, API documentation, and more.
PCL is still "unstable" as we learn how to best provide a useful API, but with your help and feedback, we hope to reach a stable release for ROS Diamondback.
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