Photo of 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.

Projects

I am the principal investigator for the following projects:

 

Scientific Output

My publications. Here is an accurate list.
Other lists: the DiVA list, and my Google Scholar profile.

 

Biography

PhD
2004 Linköping University
Postdoc
2006-2007, Laboratory for Computational Intelligence, University of British Columbia, VR fellowship
Docent
2009 Linköping University
See also this brief CV.

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 – ECCV 2016 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part IV , s.170-185 Continue to DOI

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 Continue to DOI

More publications

Emmanuele Barberi, Filippo Cucinotta, Per-Erik Forssén, Marcello Raffaele, Fabio Salmeri,  A Differential Entropy-Based Method for Reverse Engineering Quality Assessment, DESIGN TOOLS AND METHODS IN INDUSTRIAL ENGINEERING III, VOL 2, ADM 2023, Lecture Notes in Mechanical Engineering, pp. 451-458, SPRINGER INTERNATIONAL PUBLISHING AG (2024)  https://doi.org/10.1007/978-3-031-58094-9_50

Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén,  Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 3471-3480, IEEE (2024)  https://doi.org/10.1109/cvprw63382.2024.00351

Emil Brissman, Per-Erik Forssén, Johan Edstedt,  Camera Calibration Without Camera Access - A Robust Validation Technique for Extended PnP Methods, , Gade, R., Felsberg, M., Kämäräinen, JK (eds.), Lecture Notes in Computer Science, pp. 34-49 (2023)  https://doi.org/10.1007/978-3-031-31435-3_3

Emil Brissman, Per-Erik Forssén, Johan Edstedt, Camera Calibration without Camera Access – A Robust Validation Technique for Extended PnP Methods (2023)  https://arxiv.org/abs/2302.06949

Emmanuele Barberi, Filippo Cucinotta, Per-Erik Forssén, Marcello Raffaele, Fabio Salmeri,  A differential entropy-based method for reverse engineering quality assessment, (2023)

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