Per-Erik Forssén, Docent
I am an associate professor (Biträdande professor and Docent)
at the Computer Vision Laboratory, Linköping University.
Ongoing Projects
I am the principal investigator for the following projects:
Situation Aware Perception for Safe Autonomous Robotic Systems Project funded by the ELLIIT Excellence network. | |
Dorsal Stream Robot Vision Project funded by the Swedish Research Council (VR). |
Finished Projects
Smart Twins for Forest Environment Funded by Visual Sweden | |
Augmented Operator Funded by Visual Sweden | |
Learnable Camera Motion Models Project funded by the Swedish Research Council (VR). | |
New algorithms for 3D cameras Collaboration with the company Veoneer, funded by Vinnova. | |
Industrial Applications of Deep Learning Collaboration with SICK IVP AB. | |
Model Based Video Coding Collaboration with Ericsson Research in Kista on the use of structure from motion in video coding. | |
Embodied Visual Object Recognition Project funded by the Swedish Research Council (VR) and Linköping University. | |
Virtual Global Shutters Project funded by CENIIT. |
Scientific Output
- My publications. Here is an accurate list.
Other lists: the DiVA list, and my Google Scholar profile. - Software available for download
- GoPro-IMU dataset
- Kinect v2 dataset
- Video stacking dataset
- GoPro-Gyro dataset
- Rolling shutter bundle adjustment dataset
- Rolling shutter rectification dataset
- Pose estimation dataset
Teaching
I am the examiner for the following master courses (2nd cycle):
- TSBB15 Computer Vision, spring 2022, (and spring 2012-2021).
- TSBB19 Machine Learning for Computer Vision, Autumn 2021, (and earlier as TSBB17 Autumn 2018-2020)
- Masters Thesis Supervision, Spring-Autumn 2022
I also manage the Visual Computing profile (sv. Signal- och Bildbehandling) for the D/IT and Y programmes.
I also maintain a List of English-Swedish translations for Computer Vision.
In the summer of 2012, I organized the tutorial Computer Vision on Rolling Shutter Cameras at the CVPR 2012 conference.
I have previously organised and taught the following PhD courses (3rd cycle):
- Online presentation of research, Spring 2018
- Biological Vision Systems, Autumn 2017
- Masters Thesis Supervision, Spring-Autumn 2016
- Visual Object Recognition, Autumn 2014-Spring 2015
- Geometry for Computer Vision, Spring 2014 (with Klas Nordberg)
- Biological Vision Systems, Spring 2013 (with Michael Felsberg)
- Geometry for Computer Vision, Spring 2010 (with Klas Nordberg)
- Visual Object Recognition, Autumn 2008
You may also be interested in the CVL Article club. (Participation can give you PhD course credits.)
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.
Per-Erik Forssén
Kontakt:
Computer Vision Laboratory
Department of Electrical Engineering
Hus B
Rum 2D:521
SE-581 83 Linköping
013 285654
< >
Mina sidor:
Informationsansvarig: Per-Erik Forssen
Senast uppdaterad: 2023-02-07