On the processing of facial blood concentration and saturation maps from hyperspectral data (ISTI Grants for Young Mobility seminar series)

Day - Time: 07 September 2016, h.11:00
Place: Area della Ricerca CNR di Pisa - Room: C-29

Andrea Esuli


Hyperspectral data, i.e. images collected over tens of narrow contiguous light spectrum intervals represent a natural choice for expanding face recognition image analysis, especially since it may provide information beyond the normal human sensing. Non-invasive and real-time facial mapping of blood concentration and saturation levels could provide useful indicators of the healthy status of individuals with respect to cardio-metabolic risk factors (e.g., hypercholesterolemia, hyperglycaemia, endothelial dysfunction), which are among the leading causes of mortality worldwide. In this seminar, we show how concentration and saturation maps can be calculated by the selection of the lowest and meaningful subset of spectral bands. This would lessen costs and power consumptions for hyperspectral imaging hardware platforms, which need of fast computers and large data storage capacities for analyzing hyperspectral data. Also, we show an application of blood concentration maps, demonstrating their effectiveness. Finally, we discuss problems concerning the generation of facial saturation maps and we provide a starting point for post-processing and validating such noisy images.