Real-time panoramic tracking for event cameras

Christian Reinbacher, Gottfried Munda, Thomas Pock

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

Event cameras are a paradigm shift in camera technology. Instead of full frames, the sensor captures a sparse set of events caused by intensity changes. Since only the changes are transferred, those cameras are able to capture quick movements of objects in the scene or of the camera itself. In this work we propose a novel method to perform camera tracking of event cameras in a panoramic setting with three degrees of freedom. We propose a direct camera tracking formulation, similar to state-of-the-art in visual odometry. We show that the minimal information needed for simultaneous tracking and mapping is the spatial position of events, without using the appearance of the imaged scene point. We verify the robustness to fast camera movements and dynamic objects in the scene on a recently proposed dataset [18] and self-recorded sequences.

Originalspracheenglisch
Titel2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
ISBN (elektronisch)9781509057450
DOIs
PublikationsstatusVeröffentlicht - 16 Jun 2017
Veranstaltung2017 IEEE International Conference on Computational Photography - Stanford, USA / Vereinigte Staaten
Dauer: 12 Mai 201714 Mai 2017

Konferenz

Konferenz2017 IEEE International Conference on Computational Photography
KurztitelICCP 2017
LandUSA / Vereinigte Staaten
OrtStanford
Zeitraum12/05/1714/05/17

ASJC Scopus subject areas

  • !!Instrumentation
  • !!Atomic and Molecular Physics, and Optics
  • !!Computational Theory and Mathematics
  • !!Computer Vision and Pattern Recognition

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