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公开(公告)号:US20220350401A1
公开(公告)日:2022-11-03
申请号:US17703278
申请日:2022-03-24
Applicant: Apple Inc.
Inventor: Michael J. Gutensohn , Payal Jotwani , Mark E. Drummond , Daniel L. Kovacs
IPC: G06F3/01
Abstract: In one implementation, a method for recording an XR environment. The method includes: presenting, via the display device, a graphical environment with one or more virtual agents, wherein the graphical environment corresponds to a composition of extended reality (XR) content, including the one or more virtual agents, and an image stream of a physical environment captured from a first point-of-view (POV) of the physical environment; detecting, via the one or more input devices, a user input selecting a first virtual agent from among the one or more virtual agents; and in response to detecting the user input, recording a plurality of data streams associated with the graphical environment including a first image stream of the graphical environment from the first POV and one or more data streams of the graphical environment from a current POV of the first virtual agent.
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公开(公告)号:US11373323B2
公开(公告)日:2022-06-28
申请号:US17158232
申请日:2021-01-26
Applicant: Apple Inc.
Inventor: Payal Jotwani
Abstract: In one implementation, a method of determining spatial relationships of point cloud clusters is performed at a device including one or more processors and non-transitory memory. The method includes obtaining a point cloud including a plurality of points, wherein the plurality of points includes a first cluster of points and a second cluster of points, wherein a particular point of the first cluster of points is associated with a characterization vector that includes a set of coordinates of the particular point in a three-dimensional space and a cluster identifier of the first cluster of points. The method includes determining a spatial relationship vector based on the volumetric arrangement of the first cluster of points and the second cluster of points, wherein the spatial relationship vector characterizes the spatial relationship between the first cluster of points and the second cluster of points. The method includes adding the spatial relationship vector to characterization vector.
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