Optical linear systems framework for event sensing and computational neuromorphic imaging
Paul Hurley
Event Vision Sensors, or neuromorphic cameras, report sparse, and asynchronous image change-related data and enable microsecond-scale sensing and high dynamic range, but challenge physics-based sensor design approaches. In response to log-intensity threshold-crossing instances, this event representation does not readily integrate with forward operators used to describe most computational imaging and optical systems. We present a physics-grounded processing pipeline that maps event streams to est