This 2-hour workshop by robotics expert Jeff Kramer will present techniques and algorithms for managing and interpreting the 3D data produced by depth sensors like the Kinect and LIDAR/laser scanners. Among other tools, this workshop will discuss the use of the Point Cloud Library (PCL), a large scale, open project for 3D point cloud processing which contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation.

This presentation will cover many desired core 3D tasks – object detection, gesture recognition, people tracking, skeletonization and more. The presentation will focus on OpenKinect and the Point Cloud Library, mostly covering algorithms written in C/C++.

Recommended levels: Intermediate & Advanced. Programming Language: C/C++ (Many of these methods can be used in Java/other languages, but code will be presented in C/C++). Preinstallation of OpenCV and the Point Cloud Library is requested but not required.
Recommended hardware/software: A laptop with a C++ compiler. A limited number of Kinect sensors will be available to borrow, but please bring your own if possible.

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