Automated benchmark generation for object-part segmentation

by mschoeler for Point Cloud Library (PCL)

This project consists of two parts: First, implementation of the paper [Stein et al. accepted for CVPR 2014]. The focus of this segmentation is getting parts of objects for robot actions (e.g. get the handle of a hammer to pick it up). Second, automated generation of artificial scenes to create a unit-test/benchmarking functionality for 3D segmentation. I will implement a shape generator to dynamically assemble these scenes.