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Poster: AutoCalNet - Continous Real-Time Calibration of Networked Mobile Volumetric Cameras

Flemming Laursen, Krutik Pandya, Gael Melo, Jason Lobo, Detim Zhao, Lauren Gold, Robert LiKamWa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

AutoCalNet enables continuous real-time calibration of mobile 3D cameras by decoupling calibration from content streaming. It leverages a scalable device-edge-cloud network to minimize bandwidth, manage latency, and maintain high precision in calibration data, prioritizing trackable regions and feature points that will facilitate spatiotemporal tracking. This approach provides a flexible, efficient solution for networked camera systems without being constrained by content-specific requirements.

Original languageEnglish (US)
Title of host publicationHOTMOBILE 2025 - Proceedings of the 2025 26th International Workshop on Mobile Computing Systems and Applications
PublisherAssociation for Computing Machinery
Pages129
Number of pages1
ISBN (Electronic)9798400714030
DOIs
StatePublished - Feb 26 2025
Event26th International Workshop on Mobile Computing Systems and Applications, HOTMOBILE 2025 - La Quinta, United States
Duration: Feb 26 2025Feb 27 2025

Publication series

NameHOTMOBILE 2025 - Proceedings of the 2025 26th International Workshop on Mobile Computing Systems and Applications

Conference

Conference26th International Workshop on Mobile Computing Systems and Applications, HOTMOBILE 2025
Country/TerritoryUnited States
CityLa Quinta
Period2/26/252/27/25

Keywords

  • 5G MEC
  • Latency management
  • Mobile 3D cameras
  • Networked camera systems
  • Real-time calibration
  • Spatial computing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction
  • Software

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