Encouraged by evolving research fields such as Artificial Reality, Autonomous vehicles, and scene understanding, 3D Vision problems have gained interest recently. Many of the tasks studied in 3D Vision are inspired by its 2D counterpart. However, the extending of deep learning into depth and 3D information can unlock a variety of applications. Contrary to 2D Vision problems that study 2D standard-images, 3D data is structured in different formats, including RGB-D images, voxel grids, point clouds, and meshes. This diversity and the need for low-computational-cost processing is a challenge for research in this area.
Cra. 1 E No. 19A - 40.
Mario Laserna Building - School of Engineering
Cód. Postal: 111711
+(571) 332 4327, 332 4328, 332 4329