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 …

Event-based cameras are bioinspired vision sensors whose pixels work independently from
each other and respond asynchronously to brightness changes, with microsecond …

Event-based cameras are a new passive sensing modality with a number of benefits over
traditional cameras, including extremely low latency, asynchronous data acquisition, high …

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 …

In this work, we propose a novel event based stereo method which addresses the problem
of motion blur for a moving event camera. Our method uses the velocity of the camera and a …

Recently, event-based stereo matching has been studied due to its robustness in poor light
conditions. However, existing event-based stereo networks suffer severe performance …

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 …

Standard frame-based cameras have shortcomings of low dynamic range and motion blur in
real applications. On the other hand, event cameras, which are bio-inspired sensors …

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 …