53 citations · 128 across the 5 of their papers we have counts for
8 papers
An Asynchronous Linear Filter Architecture for Hybrid Event-Frame Cameras
Ziwei Wang, Yonhon Ng, Cedric Scheerlinck +1
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. Conver…
An Asynchronous Kalman Filter for Hybrid Event Cameras
Ziwei Wang, Yonhon Ng, Cedric Scheerlinck +1
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 measu…
Reducing the Sim-to-Real Gap for Event Cameras
Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza +4
Event cameras are paradigm-shifting novel sensors that report asynchronous, per-pixel brightness changes called 'events' with unparalleled low latency. This makes them ideal for hi…
CED: Color Event Camera Dataset
Cedric Scheerlinck, Henri Rebecq, Timo Stoffregen +3
Event cameras are novel, bio-inspired visual sensors, whose pixels output asynchronous and independent timestamped spikes at local intensity changes, called 'events'. Event cameras…
High Frame Rate Video Reconstruction based on an Event Camera
Liyuan Pan, Richard Hartley, Cedric Scheerlinck +3
Event-based cameras measure intensity changes (called `events') with microsecond accuracy under high-speed motion and challenging lighting conditions. With the `active pixel sensor…
Asynchronous Spatial Image Convolutions for Event Cameras
Cedric Scheerlinck, Nick Barnes, Robert Mahony
Spatial convolution is arguably the most fundamental of 2D image processing operations. Conventional spatial image convolution can only be applied to a conventional image, that is,…