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  4. calibDB: Enabling Web Based Computer Vision through on-the-fly Camera Calibration
 
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2019
Conference Paper
Titel

calibDB: Enabling Web Based Computer Vision through on-the-fly Camera Calibration

Abstract
For many computer vision applications, the availability of camera calibration data is crucial as overall quality heavily depends on it. While calibration data is available on some devices through Augmented Reality (AR) frameworks like ARCore and ARKit, for most cameras this information is not available. Therefore, we propose a web based calibration service that not only aggregates calibration data, but also allows calibrating new cameras on-the-fly. We build upon a novel camera calibration framework that enables even novice users to perform a precise camera calibration in about 2 minutes. This allows general deployment of computer vision algorithms on the web, which was previously not possible due to lack of calibration data.
Author(s)
Rojtberg, Pavel
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Gorschlüter, Felix
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Hauptwerk
Web3D 2019, 24th International Conference on 3D Web Technology. Proceedings
Konferenz
International Conference on 3D Web Technology (WEB3D) 2019
Thumbnail Image
DOI
10.1145/3329714.3338132
Language
English
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Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Tags
  • tracking

  • computer vision

  • distributed systems

  • calibration

  • Lead Topic: Visual Computing as a Service

  • Research Line: Computer vision (CV)

  • Research Line: Human computer interaction (HCI)

  • computer vision

  • web services

  • camera calibration

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