Instance Segmentation of Point Clouds using Deep Learning

Abstract

The main objective of this thesis is to implement a deep network architecture to segment and instantiate objects on 3d point clouds using pointnet, a novel 3d deep learning network that segments 3d point clouds in semantically meaningful classes, as a baseline.