Mathematical Imaging Group

Organisational unit: Research group

Research areas and keywords

UKÄ subject classification

  • Computer Vision and Robotics (Autonomous Systems)
  • Medical Image Processing
  • Radiology, Nuclear Medicine and Medical Imaging
  • Geometry


The Mathematical Imaging Group is a research group within the Centre for Mathematical Sciences. We are developing new mathematical methods for problems arising in imaging and computer vision. In terms of mathematical tools, we are currently focused on optimization methods, polynomial equations, inverse problems, large scale computing and graph theory. We address problems in geometric computer vision, medical image analysis, cognition and image analysis. We are frequently collaborating with academic partners, industry and society at large.

Recent research outputs

Henning Petzka & Cristian Sminchisescu, 2021 Jul 1, In: Journal of Machine Learning Research. 22, p. 1-34 34 p.

Research output: Contribution to journalArticle

Olivier Moliner, Sangxia Huang & Kalle Åström, 2021 May 5, 2020 25th International Conference on Pattern Recognition (ICPR). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 4758-4765 8 p. (International Conference on Pattern Recognition).

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

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