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  4. Efficient pose selection for interactive camera calibration
 
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2017
Conference Paper
Titel

Efficient pose selection for interactive camera calibration

Abstract
The choice of poses for camera calibration with planar patterns is only rarely considered - yet the calibration precision heavily depend on it. This work presents a pose selection method that explicitly avoids singular pose configurations which would lead to an unreliable solution. Consequently camera poses are favoured that reduce the uncertainty of the calibration parameters most. For this purpose the quality of the calibration parameters is continuously estimated using uncertainty propagation. Our approach performs better than comparable solutions while requiring 30% less calibration frames.
Author(s)
Rojtberg, Pavel
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Kuijper, Arjan orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Hauptwerk
IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2017. Adjunct Proceedings
Konferenz
International Symposium on Mixed and Augmented Reality (ISMAR) 2017
Thumbnail Image
DOI
10.1109/ISMAR-Adjunct.2017.60
Language
English
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Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Tags
  • artificial intelligence (AI)

  • Vision understanding

  • scene understanding

  • modeling of physical attributes

  • recovery of physical attribute

  • pattern recognition

  • implementation

  • interactive system

  • Lead Topic: Digitized Work

  • Lead Topic: Individual Health

  • Lead Topic: Smart City

  • Lead Topic: Visual Computing as a Service

  • Research Line: Computer vision (CV)

  • Research Line: Human computer interaction (HCI)

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