RELATIVE PANORAMIC CAMERA POSITION ESTIMATION for IMAGE-BASED VIRTUAL REALITY NETWORKS in INDOOR ENVIRONMENTS

M. Nakagawa, K. Akano, T. Kobayashi, Y. Sekiguchi

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

Image-based virtual reality (VR) is a virtual space generated with panoramic images projected onto a primitive model. In imagebased VR, realistic VR scenes can be generated with lower rendering cost, and network data can be described as relationships among VR scenes. The camera network data are generated manually or by an automated procedure using camera position and rotation data. When panoramic images are acquired in indoor environments, network data should be generated without Global Navigation Satellite Systems (GNSS) positioning data. Thus, we focused on image-based VR generation using a panoramic camera in indoor environments. We propose a methodology to automate network data generation using panoramic images for an image-based VR space. We verified and evaluated our methodology through five experiments in indoor environments, including a corridor, elevator hall, room, and stairs. We confirmed that our methodology can automatically reconstruct network data using panoramic images for image-based VR in indoor environments without GNSS position data.

Original languageEnglish
Pages (from-to)349-354
Number of pages6
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume4
Issue number2W4
DOIs
Publication statusPublished - 2017 Sep 12
EventISPRS Geospatial Week 2017 - Wuhan, China
Duration: 2017 Sep 182017 Sep 22

Keywords

  • Image-based virtual reality
  • camera network
  • indoor environment
  • optical flow
  • panoramic image

ASJC Scopus subject areas

  • Earth and Planetary Sciences (miscellaneous)
  • Environmental Science (miscellaneous)
  • Instrumentation

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