Per-Erik Forssén, Docent

I am a senior associate professor (Biträdande professor and Docent)
at the Computer Vision Laboratory, Linköping University.

My research interests are in visual perception for robots. Questions of interest include how to represent information and uncertainty in perception, especially in vision for action.

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).

I also contribute to the follwing projects:

• Visual Sweden City Platform
  Project funded bt Formas.
• TwinGenerator: AI-process to build a digital twin
  Project funded by Vinnova.

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)

And the PhD course (3rd cycle):

• 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.