Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …

The nervous systems converts the physical quantities sensed by its primary receptors into
trains of events that are then processed in the brain. The unmatched efficiency in information …

Today, a frame-based camera is the sensor of choice for machine vision applications.
However, these cameras, originally developed for acquisition of static images rather than for …

Neuromorphic cameras or event cameras mimic human vision by reporting changes in the
intensity in a scene, instead of reporting the whole scene at once in a form of an image …

Bio-inspired event cameras have been considered effective alternatives to traditional frame-
based cameras for stereo depth estimation, especially in challenging conditions such as low …

Event stereo matching is an emerging technique to estimate depth from neuromorphic
cameras; however, events are unlikely to trigger in the absence of motion or the presence of …

We introduce a stereo correspondence system implemented fully on event-based digital
hardware, using a fully graph-based non von-Neumann computation model, where no …

Any visual sensor, whether artificial or biological, maps the 3D-world on a 2D-
representation. The missing dimension is depth and most species use stereo vision to …

Event cameras can report scene movements as an asynchronous stream of data called the
events. Unlike traditional cameras, event cameras have very low latency (microseconds vs …

Event-based cameras have increasingly become more commonplace in the commercial
space as the performance of these cameras has also continued to increase to the degree …