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Mobile VR Headset Usability Evaluation of 2D and 3D Panoramic Views Captured with Different Cameras

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Interactive Collaborative Robotics (ICR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10459))

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Abstract

Virtual Reality has for many years been an attractive option for simulation, prototyping and tele-operation. Today new technologies have become available, and Virtual Reality has got new momentum. A new type of VR headset has been proposed based on smartphones. This device opens new application possibilities including remote environments tele-exploration. New cameras have become available, which suit the new VR headsets. In this paper we present an assessment of panoramic views for mobile VR headsets using different types of cameras that have different costs. We present the results of this assessment and discuss the achieved performance when the generated images are observed through mobile VR headsets.

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Authors and Affiliations

  1. School of Engineering and Technology, University of Hertfordshire, Hatfield, UK

    Alessio Regalbuto, Salvatore Livatino, Kieran Edwards & Iosif Mporas

Authors
  1. Alessio Regalbuto
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  2. Salvatore Livatino
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  3. Kieran Edwards
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  4. Iosif Mporas
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Corresponding author

Correspondence to Alessio Regalbuto .

Editor information

Editors and Affiliations

  1. SPIIRAS , St. Petersburg, Russia

    Andrey Ronzhin

  2. Technical University of Munich, Munich, Germany

    Gerhard Rigoll

  3. Tomsk State University , Tomsk, Russia

    Roman Meshcheryakov

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© 2017 Springer International Publishing AG

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Regalbuto, A., Livatino, S., Edwards, K., Mporas, I. (2017). Mobile VR Headset Usability Evaluation of 2D and 3D Panoramic Views Captured with Different Cameras. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2017. Lecture Notes in Computer Science(), vol 10459. Springer, Cham. https://doi.org/10.1007/978-3-319-66471-2_21

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  • DOI: https://doi.org/10.1007/978-3-319-66471-2_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66470-5

  • Online ISBN: 978-3-319-66471-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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