Images and videos as signals carrying information in the (near) visible domain are useful to humans in order to communicate, see beyond eye-scale, learn and make decision.
Digital means promote the development of ever more efficient systems.
The Image Science and Computer Vision team of the Hubert-Curien Lab forms a chain of skills in image processing and analysis, gathering the physical and semantic approaches. The team investigates main links of the image chain:
– image attributes and reproduction (modeling and metrology of optical surfaces),
– imaging systems (image formation, restoration and reconstruction),
– image interpretation \ understanding (multidimensional analysis and machine learning).
More specifically, the team focuses on the following research areas listed together with some addressed items given for illustration:
● Material appearance and image analysis
* Multiview color reproduction
* Surface analysis through spectral imaging
* Digital management of mutual illumination
● Unconventional imaging
* Optical instrumentation for astronomy
* Freeforms
* Digital holographic microscopy for biological imaging
* Synthetic Aperture Radar (SAR) image restoration
● Description and representation of images
* String representations in deep networks
* Bilateral symmetry in visual arts
* Catalysts characterization and discrimination
* Electronic orientation table
● Spatio-temporal data analysis
* Micro-expression detection and analysis
* Time series clustering
* Object tracking for sediment transport analysis
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