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

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

研究成果: Conference article

2 引用 (Scopus)

抜粋

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.

元の言語English
ページ(範囲)349-354
ページ数6
ジャーナルISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
4
発行部数2W4
DOI
出版物ステータスPublished - 2017 9 12
イベントISPRS Geospatial Week 2017 - Wuhan, China
継続期間: 2017 9 182017 9 22

ASJC Scopus subject areas

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

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