activity
20162019
most citedThe Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM

607 citations · 2.2k across the 8 of their papers we have counts for

collaborators

10 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.CV2019★ 7 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★ 164 cited

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★ 143 cited

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★ 337 cited

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…

cs.CV2017★ 508 cited

Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios

Antoni Rosinol Vidal, Henri Rebecq, Timo Horstschaefer +1

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have…

cs.RO2017★ 193 cited

Continuous-Time Visual-Inertial Odometry for Event Cameras

Elias Mueggler, Guillermo Gallego, Henri Rebecq +1

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. They offer significant advantages over standard camer…

cs.RO2016★ 607 cited

The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM

Elias Mueggler, Henri Rebecq, Guillermo Gallego +2

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

cs.CV2016★ 221 cited

Event-based, 6-DOF Camera Tracking from Photometric Depth Maps

Guillermo Gallego, Jon E. A. Lund, Elias Mueggler +3

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have…