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

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
Indrani Bhattacharya, Karin Stacke, Emily Chan, Jeong Hoon Lee, Justin R. Tse, Tie Liang, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu (2025) Aggressiveness classification of clear cell renal cell carcinoma using registration-independent radiology-pathology correlation learning Medical physics (Lancaster), Vol. 52, p. 300-320 (Article in journal) Continue to DOI

2024

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
Stefania Costantini, Giovanni De Gasperis, Pierangelo Dell'Acqua, Andrea Rafanelli (2024) Empowering Emotional Behavior Trees with Neural Computation for Digital Forensic
Elmira Zohrevandi, Pierangelo Dell'Acqua, Stefania Costantini, Francesco Gullo (2024) Design of a Framework to Enhance Road Safety in Mixed Autonomy Traffic Conditions Using Virtual Reality
Behnaz Kavoosighafi, Saghi Hajisharif, Ehsan Miandji, Gabriel Baravdish, Wen Cao, Jonas Unger (2024) Deep SVBRDF Acquisition and Modelling: A Survey Computer graphics forum (Print), Vol. 43 (Article in journal) Continue to DOI
George Baravdish, Gabriel Eilertsen, Rym Jaroudi, Tomas Johansson, Lukáš Malý, Jonas Unger (2024) A Hybrid Sobolev Gradient Method for Learning NODEs Operations Research Forum, Vol. 5, Article 91 (Article in journal) Continue to DOI

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