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 …

We present EKLT, a feature tracking method that leverages the complementarity of event
cameras and standard cameras to track visual features with high temporal resolution. Event …

In contrast to traditional cameras, whose pixels have a common exposure time, event-based
cameras are novel bio-inspired sensors whose pixels work independently and …

Neuromorphic vision sensors, whose pixels output events/spikes asynchronously with a
high temporal resolution according to the scene radiance change, are naturally appropriate …

Asynchronous event-based sensors present new challenges in basic robot vision problems
like feature tracking. The few existing approaches rely on grou** events into models and …

New vision sensors, such as the Dynamic and Active-pixel Vision sensor (DAVIS),
incorporate a conventional camera and an event-based sensor in the same pixel array …

Event cameras are novel vision sensors that output pixel-level brightness changes ("
events") instead of traditional video frames. These asynchronous sensors offer several …

The high frame rate is a critical requirement for capturing fast human motions. In this setting,
existing markerless image-based methods are constrained by the lighting requirement, the …

We propose a learning approach to corner detection for event-based cameras that is stable
even under fast and abrupt motions. Event-based cameras offer high temporal resolution …