SCIENTIFIC AXIS 2: Extract full information and meaning from surface imaging through an integrated chain of skills

The second scientific axis will provide, over a short term, scientific outcomes such as novel imaging methodologies encompassing the full image chain, from the physical basis to mechanical insights and data intelligence, developing, among others, alternate imaging systems and associated reconstruction methods– e.g. for microscopy and astronomy. It will impact medical imaging by developing safer, faster, and more elaborate diagnosis tools, and the industry by offering improved possible in-situ control of fabrication processes.


The main goal of the 2nd scientific axis is to bring coherence and create a continuous chain ranging from the optical design to the modelling and the characterization of images, the geometrical analysis up to recognition and detection tasks by artificial intelligence-based methods, while maintaining the excellence of each of these items. The scientific locks to overcome to achieve this target will be addressed in the medium term (4years):
  • Developing dedicated optical design for applications requiring in situ imaging (imaging in harsh environment, in situ diagnostic of biological tissues and thermo-mechanical properties).
  • Defining quantitative imaging concepts with in-situ capability.
  • Modelling visual rendering to gain predictive ability: application to the specification of gonio-chromatic reference samples and development of advanced gonio-spectrometric instruments for control in industry.
  • Developing new invariant colour descriptors for polarized and gonio-chromatic spectral images.
  • Designing new robust algorithms for machine learning and data analysis of multiview, heterogeneous images exhibiting a complex structure.
  • Axe2_illus1_MSebban
    © MSebban - LabHC
  • Axe2_illus2_MSebban
    © MSebban - LabHC