Computer Graphics and Image Processing

Computer generated image of a living room

The computer graphics and image processing group is driving a number of research projects directed towards the development of theory and methodology for image capture, image analysis and image synthesis.  

A common theme within our projects is to develop algorithms and techniques for measuring and digitizing real environments, lighting conditions and material properties so that this information can be used to simulate the interaction between light and matter in a scene to create photo-realistic computer graphics images.

With a strong foundation in theoretically oriented research, the group is active within a number of demonstrator projects and industrial and academic collaborations directed towards development of state-of-the-art applications within the focus areas. We are currently working with projects directed towards:

  • New algorithms and methodologies for photo realistic image synthesis based on Monte Carlo integration
  • High Dynamic Range (HDR) imaging and video capture and statistical image reconstruction
  • Tone mapping and compression of HDR images and video
  • Capture, processing and Light field imaging
  • Appearance capture and modelling of material properties for photo-realistic image synthesis
  • Algorithms and methodology for capture and reconstruction of lighting, geometry and material properties of real scenes based on sensor data

News

Latest publications

2025

Ericka Johnson, David Rayner, Jools Kasmire, Victor Hennetier, Saghi Hajisharif, Helene Ström (2025) Metadata/README elements for synthetic structured data made with GenAI: Recommendations to data repositories to encourage transparent, reproducible, and responsible data sharing
Milda Poceviciute, Yifan Ding, Ruben Bromée, Gabriel Eilertsen (2025) Out-of-distribution detection in digital pathology: Do foundation models bring the end to reconstruction-based approaches? Computers in Biology and Medicine, Vol. 184, Article 109327 (Article in journal) Continue to DOI
Wen Cao (2025) Deep Image-Based Adaptive BRDF Measure Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: Volume 1: GRAPP, HUCAPP and IVAPP, p. 292-299 (Conference paper) Continue to DOI
Jens Nilsson, Jonas Unger, Gabriel Eilertsen (2025) Self-Prioritizing Multi-Agent Reinforcement Learning for Conflict Resolution in Air Traffic Control with Limited Instructions AEROSPACE, Vol. 12, Article 88 (Article in journal) Continue to DOI
Renata G. Raidou, James B. Procter, Christian Hansen, Thomas Hollt, Daniel Jönsson (2025) Foreword to the special section on visual computing for biology and medicine (VCBM 2023) Computers & graphics, Vol. 127, Article 104168 (Article in journal) Continue to DOI

2024

Pierangelo Dell'Acqua, Stefania Costantini, Abeer Dyoub, Giovanni De Gasperis, Andrea Monaldini, Andrea Rafanelli (2024) Empathy-Aware Behavior Trees for Social Care Decision Systems Procedia Computer Science, Vol. 239, p. 1727-1735 (Article in journal) Continue to DOI
Tahereh Dehdarirad, Ericka Johnson, Gabriel Eilertsen, Saghi Hajisharif (2024) Enhancing Tabular GAN Fairness: The Impact of Intersectional Feature Selection
Wen Cao, Ehsan Miandji, Jonas Unger (2024) Multidimensional Compressed Sensing for Spectral Light Field Imaging Multidimensional Compressed Sensing for Spectral Light Field Imaging, p. 349-356 (Conference paper) Continue to DOI
Stefania Costantini, Pierangelo Dell'Acqua, Giovanni De Gasperis, Francesco Gullo, Andrea Rafanelli (2024) NEMO - A Neural, Emotional Architecturefor Human-AI Teaming
Stefania Costantini, Pierangelo Dell'Acqua, Giovanni De Gasperis, Francesco Gullo, Andrea Rafanelli (2024) The NEMO co-pilot

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