most citedEvents-to-Video: Bringing Modern Computer Vision to Event Cameras

7 citations · 7 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CV2019

High Speed and High Dynamic Range Video with an Event Camera

Henri Rebecq, René Ranftl, Vladlen Koltun +1

Event cameras are novel sensors that report brightness changes in the form of a stream of asynchronous "events" instead of intensity frames. They offer significant advantages with…

cs.CV2019

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…

cs.CV20197 cited

Events-to-Video: Bringing Modern Computer Vision to Event Cameras

Henri Rebecq, René Ranftl, Vladlen Koltun +1

Event cameras are novel sensors that report brightness changes in the form of asynchronous "events" instead of intensity frames. They have significant advantages over conventional…

cs.CV2018

Asynchronous, Photometric Feature Tracking using Events and Frames

Daniel Gehrig, Henri Rebecq, Guillermo Gallego +1

We present a method that leverages the complementarity of event cameras and standard cameras to track visual features with low-latency. Event cameras are novel sensors that output…

cs.CV2018

Semi-Dense 3D Reconstruction with a Stereo Event Camera

Yi Zhou, Guillermo Gallego, Henri Rebecq +3

Event cameras are bio-inspired sensors that offer several advantages, such as low latency, high-speed and high dynamic range, to tackle challenging scenarios in computer vision. Th…

cs.CV2018

A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation

Guillermo Gallego, Henri Rebecq, Davide Scaramuzza

We present a unifying framework to solve several computer vision problems with event cameras: motion, depth and optical flow estimation. The main idea of our framework is to find t…