Documentation

Whether you've just discovered PCL or you're a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. As always, this list should be under continuous development, so if you feel like something is missing, or if you would like to contribute with something, please do not hesitate to contact us.

An additional Wiki resource for developers is available at https://github.com/PointCloudLibrary/pcl/wiki.

Getting Started

To simplify both usage and development, we split PCL into a series of modular libraries. The most important set of released modules in PCL is shown below.

filtersfeatureskeypoints
registrationkdtreeoctree
segmentationsample_consensussurface
range_imageiovisualization

Tutorials

Our comprehensive list of tutorials for PCL, covers many topics, ranging from simple Point Cloud Input/Output operations to more complicated applications that include visualization, feature estimation, segmentation, etc.

Advanced Topics

If you're interested in how PCL works internally, or are looking at optimizing your workflow, we have assembled a set of topics that cover interesting subjects from reducing your compile time to code profiling.

API documentation

The Application Programming Interface (API) documentation for PCL includes explanations about how each public method and class works, shows simple code snippets that can be used quickly to prototype and test a particular algorithm, and links to scientific publications for those interested in finding out more about the theoretical aspects of a particular method. We currently have the following API versions indexed: