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Hannes Ovrén

I started as a PhD student at CVL in late 2011.

My research interests are in the area of robotics, active vision and 3D-sensors. My main area of interest are continuous-time structure from motion and camera-IMU applications. My supervisor is Per-Erik Forssén.

I aim to publish all software produced by my research with an appropriate open source license. Since I enjoy programming, and helping others, I try to answer questions on stackoverflow.com as often as possible.


I make most of the work I do available on GitHub. The list presented below is notable software which has been produced as part of my research.


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Book chapters

Hannes Ovrén, Per-Erik Forssén, David Törnqvist, "Improving RGB-D Scene Reconstruction using Rolling Shutter Rectification", New Development in Robot Vision, Cognitive Systems Monographs, No. 23, 55-71, 2015.

Conference papers

Hannes Ovrén, Per-Erik Forssén, "Spline Error Weighting for Robust Visual-Inertial Fusion", 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Computer Vision and Pattern Recognition, 321-329, 2018.
Felix Järemo-Lawin, Per-Erik Forssén, Hannes Ovrén, "Efficient Multi-frequency Phase Unwrapping Using Kernel Density Estimation", Computer Vision – ECCV 2016 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part IV, Lecture Notes in Computer Science, Vol. 9908, 170-185, 2016.
Hannes Ovrén, Per-Erik Forssén, "Gyroscope-based video stabilisation with auto-calibration", 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE International Conference on Robotics and Automation ICRA, 2090-2097, 2015.
Hannes Ovrén, Per-Erik Forssén, David Törnqvist, "Why Would I Want a Gyroscope on my RGB-D Sensor?", IEEE Workshop on Robot Vision 2013, Clearwater Beach, Florida, USA, January 16-17, 2013, 68-75, 2013.


Hannes Ovrén, "Continuous Models for Cameras and Inertial Sensors", Linköping Studies in Science and Technology. Dissertations, No. 1951, 2018.
The publication list is extracted from the DiVA - Academic Archive Online - publishing system. The extraction software is developed by Johan Wiklund.

Hannes Ovrén

Hannes Ovrén


Postal address:
Computer Vision Laboratory
Department of Electrical Engineering
SE-581 83 Linköping, Sweden
+46(0)13 28 1887
Visit me at:
Building B, Campus Valla

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Informationsansvarig: Hannes Ovrén
Senast uppdaterad: 2018-04-13