Polarimetric dynamic vision sensor p(DVS) principles

This contribution relates to the activities of the TC-19 on “Imaging Signals and Systems.” In a rapidly changing global economy, experiencing an unparalleled integration of science and technology, the development of efficient imaging systems is of extreme significance. The scope of TC-19 is to exchange and disseminate knowledge as well as bridge multidisciplinary areas leading to the creation of new knowledge and establish global collaborative multidisciplinary opportunities by tightening collaborations among government, industry, academia, and healthcare industry. The Committee explores a variety of computer vision and visualization systems spanning from medical imaging to defense, industry, and consumer electronics. These imaging systems use statistical or sophisticated artificial algorithms and require the integration of several technological and computational disciplines, such as detector physics and phenomenology, calibration, metrology, data acquisition, data analysis, image processing, feature extraction, and classification. Often, coexisting competing design requirements and trade-off introduce significant challenges to the design of imaging technologies. For instance, Autonomous Vehicles (AV)s, Unmanned Aerial Vehicles (UAV)s, Unmanned Underwater Vehicle (UUV)s, microsatellites, nanosatellites, and picosatellites for defense and civilian applications are characteristic examples with trade-off between design requirements for high performance imaging and maintaining low-power consumption, high-data transmission, low storage and memory, and reduced payload. To address these competing design challenges, TC-19 introduced the polarimetric neuromorphic vision principles which blend bioinspired principles such as human cognition with the vision of certain arthropods, and aquatic biological species.