Search
Close
  • About Us
    • Governance
    • Our Team
    • Labs
    • Open positions
    • Alumni
  • Research
    • Wearable robotics
      • ReGait++
      • Third Arm
    • Rescue Robotics
      • Flying Robots
      • Legged robots
      • Collaboration, Learning and Tests
    • Educational robotics
      • Cellulo
      • Thymio
    • Publications
    • Open Science
  • Education
    • How to get into robotics
      • How our professors got into robotics
      • How our researchers got started
    • Robotics for kids
      • Activities for Kids
      • R2t2 Mars Mission
    • Graduate Programs in Robotics
    • Resources
  • Tech Transfer
    • Researchers expertise
    • Spin-Offs
    • Swiss Robotics Day
    • Swiss Robotics Ecosystem
    • Resources
  • Equal Opportunities
    • Robotics for Girls
    • Master students
    • Young Researchers
    • Building Equality
    • Women in Robotics
    • Resources
  • Awards & Programs
    • Spin-Fund
    • Master Students Exchange Program
    • PhD/Postdoc exchange program
    • Award for Career Development
    • Swiss Robotics Masters Award
    • Award for Scientific Visibility
    • Women keynote speakers
    • Best Paper Award
    • Ukrainian researchers
  • Outreach
    • Swiss Drone Days
    • Cybathlon
    • Swiss Robotics Days
    • Other Outreach Events
  • Contact
Menu
  • About Us
    • Governance
    • Our Team
    • Labs
    • Open positions
    • Alumni
  • Research
    • Wearable robotics
      • ReGait++
      • Third Arm
    • Rescue Robotics
      • Flying Robots
      • Legged robots
      • Collaboration, Learning and Tests
    • Educational robotics
      • Cellulo
      • Thymio
    • Publications
    • Open Science
  • Education
    • How to get into robotics
      • How our professors got into robotics
      • How our researchers got started
    • Robotics for kids
      • Activities for Kids
      • R2t2 Mars Mission
    • Graduate Programs in Robotics
    • Resources
  • Tech Transfer
    • Researchers expertise
    • Spin-Offs
    • Swiss Robotics Day
    • Swiss Robotics Ecosystem
    • Resources
  • Equal Opportunities
    • Robotics for Girls
    • Master students
    • Young Researchers
    • Building Equality
    • Women in Robotics
    • Resources
  • Awards & Programs
    • Spin-Fund
    • Master Students Exchange Program
    • PhD/Postdoc exchange program
    • Award for Career Development
    • Swiss Robotics Masters Award
    • Award for Scientific Visibility
    • Women keynote speakers
    • Best Paper Award
    • Ukrainian researchers
  • Outreach
    • Swiss Drone Days
    • Cybathlon
    • Swiss Robotics Days
    • Other Outreach Events
  • Contact
Search
Close
  • NCCR Robotics
    • Highlights
    • Governance
    • Our team
    • Labs
    • Past programs
    • Alumni
    • Open positions in robotics
  • Research
    • Wearable Robotics
      • ReGait++
      • Third Arm
    • Rescue Robotics
      • Flying robots
      • Legged robots
      • Collaborations, learning and tests
    • Educational Robotics
      • Cellulo
      • Thymio
    • Publications
    • Open Science
    • Research resources
  • Education
    • How to get into robotics
      • How our professors got into robotics
      • How our researchers got started
    • Robotics for kids
      • Activities for kids
      • R2t2 Mars mission
    • Graduate programs in robotics
    • Resources
  • Tech Transfer
    • Researchers expertise
    • Spin-Offs
    • Swiss Robotics Day
    • Swiss Robotics Ecosystem
    • Resources
  • Equal Opportunities
    • Building equality
    • Women in Robotics
    • Resources
  • Outreach
    • Swiss Robotics Days
    • Swiss Drone Days
    • Cybathlon
    • Photo exhibit
    • Other Outreach Events
Menu
  • NCCR Robotics
    • Highlights
    • Governance
    • Our team
    • Labs
    • Past programs
    • Alumni
    • Open positions in robotics
  • Research
    • Wearable Robotics
      • ReGait++
      • Third Arm
    • Rescue Robotics
      • Flying robots
      • Legged robots
      • Collaborations, learning and tests
    • Educational Robotics
      • Cellulo
      • Thymio
    • Publications
    • Open Science
    • Research resources
  • Education
    • How to get into robotics
      • How our professors got into robotics
      • How our researchers got started
    • Robotics for kids
      • Activities for kids
      • R2t2 Mars mission
    • Graduate programs in robotics
    • Resources
  • Tech Transfer
    • Researchers expertise
    • Spin-Offs
    • Swiss Robotics Day
    • Swiss Robotics Ecosystem
    • Resources
  • Equal Opportunities
    • Building equality
    • Women in Robotics
    • Resources
  • Outreach
    • Swiss Robotics Days
    • Swiss Drone Days
    • Cybathlon
    • Photo exhibit
    • Other Outreach Events

EKLT: Asynchronous Photometric Feature Tracking usingEvents and Frames

Publication date:

Authors:

Authors: Gehrig, D.; Rebecq, H.; Gallego, G.; Scaramuzza, D.

We present EKLT, a feature tracking methodthat leverages the complementarity of event camerasand standard cameras to track visual features with hightemporal resolution. Event cameras are novel sensorsthat output pixel-level brightness changes, called *events*.They offer significant advantages over standard cam-eras, namely a very high dynamic range, no motionblur, and a latency in the order of microseconds. How-ever, because the same scene pattern can produce dif-ferent events depending on the motion direction, estab-lishing event correspondences across time is challeng-ing. By contrast, standard cameras provide intensitymeasurements (frames) that do not depend on motiondirection. Our method extracts features on frames andsubsequently tracks them asynchronously using events,thereby exploiting the best of both types of data: theframes provide a photometric representation that doesnot depend on motion direction and the events pro-vide updates with high temporal resolution. In contrastto previous works, which are based on heuristics, thisis the first principled method that uses intensity mea-surements directly, based on a generative event modelwithin a maximum-likelihood framework. As a result,our method produces feature tracks that are more ac-curate than the state of the art, across a wide varietyof scenes.

Reference

  • Published in: International Journal of Computer Vision (IJCV) (accepted)
  • Read paper
  • Date: 2019
Reference
Read the paper
  • Innovation Booster Robotics
  • News
  • Past Events
  • Contact
  • Innovation Booster Robotics
  • News
  • Past Events
  • Contact
  • Journalists and media
  • News bulletin archive
  • Newsletter archive
  • Journalists and media
  • News bulletin archive
  • Newsletter archive
Twitter Linkedin Youtube
NCCR Robotics partner institutions

Leading house

epfl_white

Co-Leading house

eth_white
unizuerich_white
idsia_white
unibe_all_white
empa-all-white
unibasel_white

This website was built by NCCR Robotics and provides useful information on Swiss Robotics. From December 2022, it is no longer updated.

Copyright © 2022 NCCR Robotics. All rights reserved.