Anthony Beninati, Martin Nowak, Nicolas Douard, Joe Lanzi, Ridwan Hussain, Yi Wang, S. Shrestha, Zoe Giakos, G. Giakos
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In this study, a novel experimental design of a cognitive imaging system aiming at enhancing the spatial and temporal resolution of neuromorphic vision sensors, is presented. Super resolution images of moving or semi-obstructed targets, by means of the “Polarimetric Dynamic Vision Sensor (pDVS)” system, were obtained. This system improves the contrast sensitivity and proves to be an efficient strategy for rapid scene analysis by making use of deep learning. The outcome of this study has a tremendous impact to contribute to the design of innovative bioinspired-based vision systems for rapid classification, identification, motion detection, and tracking.
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