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 Linköping University

Postdoc

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

Docent

2009 Linköping 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

Drönare förändrar hur vi utforskar, övervakar och samverkar 鈥� i luften, på land och under vattenytan. Forskningen inom drönare och drönarsvärmar är ett tvärvetenskapligt och snabbt växande område.

Selected publications

Cover of publication 'Efficient Multi-frequency Phase Unwrapping Using Kernel Density Estimation'

Felix Järemo-Lawin, Per-Erik Forssén, Hannes Ovrén (2016)

Computer Vision 鈥� ECCV 2016 14th European Conference, Amsterdam, The Netherlands, October 11鈥�14, 2016, Proceedings, Part IV , s.170-185

Cover of publication 'Rolling Shutter Bundle Adjustment'

Johan Hedborg, Per-Erik Forssén, Michael Felsberg, Erik Ringaby (2012)

Cover of publication 'Efficient Video Rectification and Stabilisation for Cell-Phones'

Erik Ringaby, Per-Erik Forssén (2012)

International Journal of Computer Vision , Vol.96 , s.335-352

More publications

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)

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

Ludvig Dillen, Per-Erik Forss茅n, Johan Edstedt, , IMAGE ANALYSIS, SCIA 2025, PT I, Lecture Notes in Computer Science, pp. 324-337, SPRINGER INTERNATIONAL PUBLISHING AG (2025)

Ludvig Dill茅n, Per-Erik Forss茅n, Johan Edstedt, FACT: Multinomial Misalignment Classification for Point Cloud Registration (2025)

Shipeng Liu, Ziliang Xiong, Bastian Wandt, Per-Erik Forss茅n, , IMAGE ANALYSIS, SCIA 2025, PT I, Lecture Notes in Computer Science, pp. 276-291, SPRINGER INTERNATIONAL PUBLISHING AG (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

Professor, Head of Division

Associate Professor, Docent

Adjunct Assistant Lecturer

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 糖心网页版.

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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