Image Science & Computer Vision


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