Neural Networks in a 3D World: Learning from Geometry KU Leuven
With the rise of deep learning, computer vision research has become largely dominated by machine learning for many applications. A large group of these applications stem from the robotics community, applying computer vision to autonomous driving for instance. Reasoning about 3D environments is still difficult for a deep learning model, which causes difficulties in some computer vision fields such as camera localization. Hand crafted ...