Research areas
Material Appearance and Image Analysis
Material appearance plays a central role in many domains, especially in (computational) printing, art design and visual diagnostics, where attributes as color, texture, brightness or translucency are of interest. The goal here is the analysis and prediction of such perceptual attributes from physical entities. Our objective approach combines photometry with image processing and, where appropriate, machine learning techniques. Models comprising light flux propagation and scattering are developed for this purpose.
Image analysis and understanding
The main issue addressed in this project-team is image analysis and understanding ie. extracting useful information in digital images and videos and transfer it into relevant description and prediction...
Optical Design & Image Reconstruction
The Optical Design and Image Reconstruction (ODIR) project-team gather researchers with complementary skills in optical design, microscopy, inverse problems, image processing and reconstruction. We conduct research projects along 3 main directions :