Deep Learning for 3D Recognition
Research Project, 2018
– 2023
The goal of this project is to leverage deep learning to explore new methods for 3D recognition. A large focus will be on finding object instances in images, along with their semantic as well as geometrical properties (such as 3D shape and pose). Starting out with known rigid objects, the goal is to consider more general scenarios as well. A recurring theme will be how to gain most from the combination of learning, white-box modeling and geometry.
Participants
Lucas Brynte (contact)
Imaging and Image Analysis
Fredrik Kahl
Imaging and Image Analysis
Funding
Wallenberg AI, Autonomous Systems and Software Program
Funding Chalmers participation during 2018–
Related Areas of Advance and Infrastructure
Information and Communication Technology
Areas of Advance
Transport
Areas of Advance