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.
|ジャーナル||ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences|
|出版ステータス||Published - 2017 9月 12|
|イベント||ISPRS Geospatial Week 2017 - Wuhan, China|
継続期間: 2017 9月 18 → 2017 9月 22
ASJC Scopus subject areas