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

Scientific Axis 2: Extract full information and meaning from surface imaging through an integrated chain of skills, will provide over the 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 other 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 over fabrication processes.

Main scientific objectives of the axis 2 are:

Bring the coherence and create a continuous chain ranging from the optical design to the modeling and the characterization of images, the geometrical analysis up to the recognition and the detection, while maintaining the excellence of each of these items.

  • The scientific locks to be overcome to achieve this target will be addressed in the medium term (4years):
  • Develop dedicated optical design for applications requiring in situ imaging (imaging in harsh environment, in situ diagnostic of biological tissues and thermos-mechanical properties).
  • Define quantitative imaging concepts with in-situ capability.
  • Model visual rendering to gain predictive ability, application to the specification of goniochromatic reference samples and development of advanced gonio-spectrometric instruments for control in industry.
  • Develop new invariant color descriptors for polarized and goniochromatic spectral images.
  • Design new robust algorithms for machine learning and data analysis of multiview, heterogeneous images exhibiting a complex structure.

©Marc Sebban

©Marc Sebban