The postdoc will work as a researcher in a project on machine learning for time of flight cameras, and features collaboration between the Computer Vision Lab and the company Fotonic. 3D cameras using the time of flight (ToF) principle are increasingly popular for automation and robotics. Many new consumer products such as the Kinect v2, and the Microsoft Hololens device also rely on ToF for 3D mapping. We will together with Fotonic study the fundamentals of the measurement problem, and temporal fusion techniques, with the aim of improving depth map quality, range, and robustness.
The postdoc is expected to publish papers at high ranking venues such as ECCV, CVPR, ICCV and 3DV.
Further details on the position can be provided on request by Associate Professor Per-Erik Forssen ([hidden email] <mailto:[hidden email]>) who is also the project manager, or by Professor Michael Felsberg ([hidden email] <mailto:[hidden email]>) who is heading the lab.