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Testing VR headset cameras for capturing written content

Published: 06 February 2020 Publication History

Abstract

Virtual reality (VR) has become an important tool for providing immersive and collaborative teleprensence experiences. The technology has the possibility of bringing people in different geographical places together in an immersive way and makes sharing knowledge, ideas and experience easier. An important evolution in the immersive experience is the introduction of items from the real world into the virtual environment and the creation of a mixed reality experience. We present a pilot study in the use of the built-in head mounted display (HMD) cameras, for capturing parts of the environment and presenting them in VR. Particular emphasis is put on capturing physical written content on flat surfaces and visualizing it in VR for sharing with other users. We test the HTC Vive and Valve Index cameras and compare them to two external solutions by applying optical character recognition (OCR) on captured and rectified images from them. We demonstrate that the Valve Index camera has the potential to be used for capturing readable text for use in shared VR.

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cover image ACM Other conferences
AcademicMindtrek '20: Proceedings of the 23rd International Conference on Academic Mindtrek
January 2020
182 pages
ISBN:9781450377744
DOI:10.1145/3377290
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 February 2020

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Author Tags

  1. VR
  2. benchmarking
  3. cameras
  4. image acquisition
  5. image processing
  6. virtual reality

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AcademicMindtrek '20
AcademicMindtrek '20: Academic Mindtrek 2020
January 29 - 30, 2020
Tampere, Finland

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AcademicMindtrek '20 Paper Acceptance Rate 24 of 45 submissions, 53%;
Overall Acceptance Rate 110 of 207 submissions, 53%

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