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

RELATIVE PANORAMIC CAMERA POSITION ESTIMATION FOR IMAGE-BASED VIRTUAL REALITY NETWORKS IN INDOOR ENVIRONMENTS