Invention Grant
- Patent Title: Computationally efficient model selection
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Application No.: US17203393Application Date: 2021-03-16
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Publication No.: US11373377B2Publication Date: 2022-06-28
- Inventor: Bo Morgan , Mark E. Drummond , Peter Meier , Cameron J. Dunn , John Christopher Russell , Siva Chandra Mouli Sivapurapu , Ian M. Richter
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Fernando & Partners, LLP
- Main IPC: G06T19/00
- IPC: G06T19/00 ; A63F13/55 ; G06F40/14 ; G06F3/01

Abstract:
In various implementations, a device surveys a scene and presents, within the scene, a extended reality (XR) environment including one or more assets that evolve over time (e.g., change location or age). Modeling such an XR environment at various timescales can be computationally intensive, particularly when modeling the XR environment over larger timescales. Accordingly, in various implementations, different models are used to determine the environment state of the XR environment when presenting the XR environment at different timescales.
Public/Granted literature
- US20210201594A1 COMPUTATIONALLY EFFICIENT MODEL SELECTION Public/Granted day:2021-07-01
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