3D object tracking in RGB-D images using Deep Learning

HES-SO Master thesis 2019 and HES-SO P2 project, HEPIA - Optics and Image Processing Laboratory - Public

Axel Collet, Nicolas Rosset, Stéphane Bourquin, Valérie Duay, HEPIA

Maria Sisto, Christophe Bolinhas, Stéphane Gobron, HE-ARC

One of the challenges of Augmented Reality systems is to locate real objects in space without using markers. The objective of this project is to test Deep learning technology to locate a real object in images acquired with an RGB-D camera.