Talk Abstract: Neuromorphic Imaging also known as Event-based Vision Sensing (EVS) uses smart pixels that create events upon changes of light intensity. This allows to save bandwidth and power for portions of the scene that remain static and dedicate it to where things are actually happening. Hence, EVS is a promising imaging technology to capture sparse, fast motion in a power efficient manner. As EVS lacks an absolute reference, a significant number of use-cases utilize a combination of conventional CMOS image sensors (CIS) and EVS. We will present our new hybrid EVS+CIS sensor and illuminate use-cases this technology can address in the field of photography as well as machine vision. We will further illuminate how we generate ground truth reference data for algorithm development, which is a key requirement to kickstart these new applications.

Speaker Biography: Andreas Suess received the B.Sc.E.E. from University of Applied Sciences Dusseldorf, Germany in 2008 (with honors) and the Ph.D. degree (summa cum laude) from University Duisburg-Essen, Germany, in 2014. From 2009 to 2014, he was with Fraunhofer IMS where he worked primarily on Indirect Time-of-Flight Imaging. In 2014 he joined imec, Leuven, Belgium, where he worked on numerous technologies – most notably Global Shutter, Indirect and Direct Time-of-Flight, and Thin-Film-Photodetectors for SWIR. Since 2018, he is with OMNIVISION, Santa Clara, CA, where he is currently managing a system design team within the office of the CTO. He authored or co-authored more than 30 scientific papers and holds over 30 pending or issued patents. He currently serves in the technical program committee of the International Image Sensor Workshop (IISW) as well as the subcommittee on Imagers, Medical, MEMS and Displays of the International Solid-State Circuits Conference (ISSCC).