Karl Åström

Professor, Professor, Mathematics, PhD, Master of Science, Bachelor of ScienceKnown as name: Kalle Åström

Research areas and keywords

UKÄ subject classification

  • Geometry
  • Computer Vision and Robotics (Autonomous Systems)


  • Computer vision, Invariants, Structure from motion


Kalle Åström received his B.Sc in Mathematics in 1990, M.Sc. degree in Engineering Physics in 1991 and Ph.D. in Mathematics in 1996 form Lund University, Sweden. His thesis was awarded Best Nordic Ph.D. Thesis in pattern recognition and image analysis 1995-1996 at the Scandinavian Conference in Image Analysis, 1997. He has been a post-doctoral research fellow, associate professor and is now professor at the Centre for Mathematical Sciences, Lund University. His current research interests include stochastic analysis of low level vision, computer vision for autonomous guided vehicles, geometry and algebra of multiple views of points, curves and surfaces, cognitive vision, handwriting-recognition and medical image analysis.


He is a member of the Royal Swedish Physiographic Society and an Associate Editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence. He has previously been president fo the Swedish Society for Automated Image Analysis (1998-2002), member of the governing board of the International Association for Pattern Recognition (1998-2004), member of the scientific advisory board of STFI-Packforsk (2002-2005). He has co-founded three start-up companies Decuma (1999), Cognimatics (2003) and Spiideo (2012). He is the winner of Innovation Cup 1991, for his work on autonomous guided vehicles. Decuma was awarded the EU IST Grand Prize award in 2003, for innovative work on hand-writing recognition.


Teachings include undergraduate and gradate courses in mathematics, image processing and computer vision.

Recent research outputs

Per Runeson, Björn Regnell, Monica Almqvist & Karl Åström, 2019 Feb 5, Sydsvenska Dagbladet, Debatt.

Research output: Contribution to specialist publication or newspaperNewspaper article

Gabrielle Flood, Anders Heyden & Kalle Åström, 2019, Pattern Recognition Applications and Methods - 7th International Conference, ICPRAM 2018, Revised Selected Papers. di Baja, G. S., Fred, A. & De Marsico, M. (eds.). Springer Verlag, p. 116-138 23 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11351 LNCS).

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Larsson, V., Magnus Oskarsson, Kalle Astrom, Wallis, A., Pajdla, T. & Kukelova, Z., 2018 Dec 14, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 3945-3954 10 p. 8578513

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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