Per-Erik Forssén

Per-Erik Forssén

Senior Associate Professor

My research interests are in visual perception and perceptual learning for robots. Current work includes uncertainty representation, vision for action, and continuous-time modelling of 3D motion.

Research and Teaching

Biography

PhD

2004 Link枚ping University

Postdoc

2006-2007, Laboratory for Computational Intelligence, University of British Columbia, VR fellowship

Docent

2009 Link枚ping University

Research

En man som st氓r bredvid en dr枚nare p氓 toppen av en asfalt.

Drone and swarm research at LiU

Drones are transforming how we explore, monitor and collaborate 鈥� in the air, on land and beneath the surface of the water. Research in drones and drone swarms is an interdisciplinary and rapidly growing field.

Selected publications

More publications

Carl Hoffstedt, Per-Erik Forss茅n, Anton Wiberg, , Results in Engineering (RINENG) 30:110796 (2026)

Johannes H盲gerlind, Bao-Long Tran, Urs Nathanael Waldmann, Per-Erik Forss茅n, , Proceedings of the 21st International Conference on Computer Vision Theory and Applications, Antonino Furnari, Petia Radeva (eds.), VISIGRAPP, pp. 307-318, Set煤bal, Portugal (2026)

Pavlo Melnyk, Cuong Le, Urs Waldmann, Per-Erik Forss茅n, Bastian Wandt, On the Role of Rotation Equivariance in Monocular 2D-to-3D Human Pose Lifting (2026)

Shipeng Liu, Garima Bazard, Khac-Hoang Ngo, Per-Erik Forss茅n, Point Cloud Transmission With Patch-Based Rate Adaptation (2026)

Johannes H盲gerlind, Bao-Long Tran, Urs Waldmann, Per-Erik Forss茅n, Robust Multi-view Camera Calibration from Dense Matches (2025)

News

04 September 2018

3D models from cheap video cameras

Hannes Ovrén shows in his doctoral thesis in computer vision how 3D models can be created from video films recorded with simple cameras. The research opens new possibilities for both robots and humans, not least for the police and rescue services.

Staff at CVL

Adjunct Associate Professor

Associate Professor, Docent

Technology Manager, Head of Division

Mårten Wadenbäck

Associate Professor, Docent

About the division

Computer Vision and Learning Systems (CVL)

Welcome to the Computer Vision and Learning Systems (CVL), part of the Department of Electrical engineering at 糖心直播.

About the department

Department of Electrical Engineering (ISY)

At ISY, we conduct research and education in the field of Electrical Engineering. A strong emphasis is placed on research- and industrial collaborations.

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