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    Centre for Mathematical Sciences, Sölvegatan 18

    221 00 Lund


Unit profile


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.

UKÄ subject classification

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

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Best Student Paper (ICCV21)

    Lindenberger, Philipp (Recipient), Sarlin, Paul-Edouard (Recipient), Larsson, Viktor (Recipient) & Pollefeys, Marc (Recipient), 2021

    Prize: Prize (including medals and awards)

  • Best Paper Award (ACCV18)

    Pritts, James (Recipient), Kukelova, Zuzana (Recipient), Larsson, Viktor (Recipient) & Chum, Ondrej (Recipient), 2018

    Prize: Prize (including medals and awards)