Mapping physical locations to fit virtualized AR and VR environments

    公开(公告)号:US11640698B2

    公开(公告)日:2023-05-02

    申请号:US17331820

    申请日:2021-05-27

    摘要: Systems, methods, and computer programming products for generating, rendering and/or displaying a computer-generated virtual environment as augmented reality and/or virtual reality. The physical boundaries containing the active area where the virtual environments are rendered and displayed are established. Based on the constraints and characteristics of the physical boundaries, virtual environments are mapped using assets from real, historical and/or fictitious locations. The assets can be dynamically re-sized and distanced to fit constraints of the physical space. Based on historical levels of interactivity with the selected environments, the virtual assets can be sorted and tagged as points of interest or filler assets, then mapped to the virtual environment using GAN technology and other machine learning techniques to re-create unique versions of the selected environments. Virtual thresholds can be introduced to segment the virtual environment into multiple portions and reduce the amount of assets needing to be simultaneously displayed.

    MAPPING PHYSICAL LOCATIONS TO FIT VIRTUALIZED AR AND VR ENVIRONMENTS

    公开(公告)号:US20220383594A1

    公开(公告)日:2022-12-01

    申请号:US17331820

    申请日:2021-05-27

    摘要: Systems, methods, and computer programming products for generating, rendering and/or displaying a computer-generated virtual environment as augmented reality and/or virtual reality. The physical boundaries containing the active area where the virtual environments are rendered and displayed are established. Based on the constraints and characteristics of the physical boundaries, virtual environments are mapped using assets from real, historical and/or fictitious locations. The assets can be dynamically re-sized and distanced to fit constraints of the physical space. Based on historical levels of interactivity with the selected environments, the virtual assets can be sorted and tagged as points of interest or filler assets, then mapped to the virtual environment using GAN technology and other machine learning techniques to re-create unique versions of the selected environments. Virtual thresholds can be introduced to segment the virtual environment into multiple portions and reduce the amount of assets needing to be simultaneously displayed.