Deep Learning for 3D Recognition
Research Project , 2018 –

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)

Doktorand vid Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Imaging and Image Analysis

Fredrik Kahl

Professor vid Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, 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

More information

Latest update

2018-06-13