Anders Heyden
Also known as Anders Lars-Gunnar Heyden
Anders Heyden is a Lund University professor whose work connects computer vision, camera geometry, and machine learning. He studied engineering physics and mathematics at Lund, then developed methods for uncalibrated image sequences and hand-eye calibration. His career included leadership in image-analysis and pattern-recognition societies, an IAPR fellowship in 2016, and three co-founded startups. As of October 2026, he is a professor of computer vision and machine learning and deputy dean at Lund; his recent work applies deep learning to medical imaging.
Timeline
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1989–1995
Engineering physics and mathematics
He earns an M.Sc. in engineering physics in 1989 and a Ph.D. in mathematics in 1995 at Lund University.
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1997
Multilinear forms for image sequences
His 1997 paper with Karl Åström sets out a mathematical framework for uncalibrated camera sequences and algorithms to recover structure and motion.
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2000
Hand-eye calibration
He and Henrik Malm present “Hand-eye calibration from Image Derivatives” at the European Conference on Computer Vision in 2000.
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2010–2018
Society leadership at Lund and IAPR
He serves as president of the Swedish Society for Automated Image Analysis in 2010–2014 and on the IAPR governing board in 2010–2018.
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2016
An IAPR fellowship
He becomes an IAPR Fellow in 2016 for contributions to multiple view geometry and auto-calibration and for service to IAPR.
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2023
A startup innovation award
He co-founds Ludesi, Mometric, and 23°N; the last startup wins the Sparbanken Skåne Innovation Award in 2023.
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2025–2026
Deep learning in medical imaging
In 2025, he co-authors a deep-learning framework to predict outcomes for prostate-cancer patients on active surveillance. In 2026, he co-authors a study of deep-learning segmentation of brain tissues with dual-energy CT.
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As of October 2026
Professor and deputy dean
He is professor of computer vision and machine learning at Lund University, after postdoctoral research and associate-professor roles at its Centre for Mathematical Sciences. He is deputy dean of the engineering faculty with responsibility for research and research education.
Career
- Since 1994Lund UniversityPostdoctoral researcher
- From 2023LudesiCo-founder
- From 2023MometricCo-founder
- From 202323°NCo-founder
- 2010–2014Swedish Society for Automated Image AnalysisPresident
- 2010–2018International Association for Pattern RecognitionGoverning board member
- 2002–2009Malmö University
Education
- 1995Lund UniversityPh.D. in mathematics
- 1989Lund UniversityM.Sc. in engineering physics
Most-cited works
- Multiple view geometryWith Marc Pollefeys
- Computer Vision - Eccv 2002
- Euclidean reconstruction from image sequences with varying and unknown focal length and principal point
- Three‐dimensional biofilm model with individual cells and continuum EPS matrix
- Euclidean reconstruction from constant intrinsic parameters
Sources and credits
Photo: We have no published photo of Anders Heyden yet. Send us a free-licensed photo.
- Anders Heyden - Lund University
- Simplifications of Multilinear forms for Sequences of Images - Lund University
- Hand-eye calibration from Image Derivatives - Lund University
- SSBA:s historia – SSBA
- Chronological List of IAPR Fellows – International Association for Pattern Recognition
- Outcome prediction of prostate cancer patients on active surveillance using weakly supervised deep learning - Lund University
- Dual energy CT and deep learning for an automated volumetric segmentation of the major intracranial tissues: Feasibility and initial findings - Lund University



