AAI 6730 — Deep Learning for 3D Point Cloud Analysis
3 semester hoursGraduateLecture
Offers an in-depth exploration of graph neural networks for processing 3D point cloud data across various artificial intelligence fields. Beginning with the fundamentals of 3D point clouds and neural networks for 2D structures, transitions to the concepts of GNNs for 3D point cloud processing. Examines several basic and advanced GNN models. Provides instruction in common 3D point cloud processing tasks such as classification, segmentation, registration, and reconstruction. Covers implementing, optimizing, and evaluating GNN models for a variety of point cloud processing tasks.