Traditional frame-based cameras inevitably suffer from motion blur due to long exposure
times. As a kind of bio-inspired camera, the event camera records the intensity changes in …

Event cameras are ideally suited to capture HDR visual information without blur but perform
poorly on static or slowly changing scenes. Conversely, conventional image sensors …

Event cameras are ideally suited to capture High Dynamic Range (HDR) visual information
without blur but provide poor imaging capability for static or slowly varying scenes …

Event-based cameras are popular for tracking fast-moving objects due to their high temporal
resolution, low latency, and high dynamic range. In this article, we propose a novel algorithm …

Event streams provide a novel paradigm to describe visual scenes by capturing intensity
variations above specific thresholds along with various types of noise. Existing event …

Event cameras are bio-inspired sensors that capture per-pixel asynchronous intensity
change rather than the synchronous absolute intensity frames captured by a classical …

Stereo camera systems play an important role in robotics applications to perceive the 3D
world. However, conventional cameras have drawbacks such as low dynamic range, motion …

Event-stream representation is the first step for many computer vision tasks using event
cameras. It converts the asynchronous event-streams into a formatted structure so that …

Event cameras also known as neuromorphic sensors are relatively a new technology with
some privilege over the RGB cameras. The most important one is their difference in …

High precision tracking of stars both from ground and from orbit is a vital capability that
enables autonomous alignment of both satellite and ground-based telescopes. Event …