Multi-Resolution Voxel Meshing
    1.
    发明申请

    公开(公告)号:US20220237872A1

    公开(公告)日:2022-07-28

    申请号:US17717393

    申请日:2022-04-11

    Applicant: Apple Inc.

    Abstract: Various implementations disclosed herein generate a mesh representing the surfaces in a physical environment. The mesh is generated using multi-resolution voxels based on detected depth information, e.g., from a depth camera. The techniques may use multiple hash tables to store the multi-resolution voxel data. For example, the hash tables may store each voxel's 3D position and a truncated signed distance field (TSDF) value corresponding to each voxels' distance to a nearest surface. Each of the multiple hash tables may include data corresponding to a different level of resolution and those resolutions may depend upon distance/noise or other factors. For example, voxels close to a depth camera may have a finer resolution and smaller size compared to voxels that are further from the depth camera. Techniques disclosed herein may involve using a meshing algorithm that combines multi-resolution voxel information stored in multiple hash tables to generate a single mesh.

    Multi-resolution voxel meshing
    2.
    发明授权

    公开(公告)号:US11328481B2

    公开(公告)日:2022-05-10

    申请号:US17147559

    申请日:2021-01-13

    Applicant: Apple Inc.

    Abstract: Various implementations disclosed herein generate a mesh representing the surfaces in a physical environment. The mesh is generated using multi-resolution voxels based on detected depth information, e.g., from a depth camera. The techniques may use multiple hash tables to store the multi-resolution voxel data. For example, the hash tables may store each voxel's 3D position and a truncated signed distance field (TSDF) value corresponding to each voxels' distance to a nearest surface. Each of the multiple hash tables may include data corresponding to a different level of resolution and those resolutions may depend upon distance/noise or other factors. For example, voxels close to a depth camera may have a finer resolution and smaller size compared to voxels that are further from the depth camera. Techniques disclosed herein may involve using a meshing algorithm that combines multi-resolution voxel information stored in multiple hash tables to generate a single mesh.

    MULTI-RESOLUTION VOXEL MESHING
    4.
    发明申请

    公开(公告)号:US20210225074A1

    公开(公告)日:2021-07-22

    申请号:US17147559

    申请日:2021-01-13

    Applicant: Apple Inc.

    Abstract: Various implementations disclosed herein generate a mesh representing the surfaces in a physical environment. The mesh is generated using multi-resolution voxels based on detected depth information, e.g., from a depth camera. The techniques may use multiple hash tables to store the multi-resolution voxel data. For example, the hash tables may store each voxel's 3D position and a truncated signed distance field (TSDF) value corresponding to each voxels' distance to a nearest surface. Each of the multiple hash tables may include data corresponding to a different level of resolution and those resolutions may depend upon distance/noise or other factors. For example, voxels close to a depth camera may have a finer resolution and smaller size compared to voxels that are further from the depth camera. Techniques disclosed herein may involve using a meshing algorithm that combines multi-resolution voxel information stored in multiple hash tables to generate a single mesh.

    Multi-resolution voxel meshing
    5.
    发明授权

    公开(公告)号:US11928779B2

    公开(公告)日:2024-03-12

    申请号:US17717393

    申请日:2022-04-11

    Applicant: Apple Inc.

    CPC classification number: G06T17/20 G06T3/4007 G06T2200/04

    Abstract: Various implementations disclosed herein generate a mesh representing the surfaces in a physical environment. The mesh is generated using multi-resolution voxels based on detected depth information, e.g., from a depth camera. The techniques may use multiple hash tables to store the multi-resolution voxel data. For example, the hash tables may store each voxel's 3D position and a truncated signed distance field (TSDF) value corresponding to each voxels' distance to a nearest surface. Each of the multiple hash tables may include data corresponding to a different level of resolution and those resolutions may depend upon distance/noise or other factors. For example, voxels close to a depth camera may have a finer resolution and smaller size compared to voxels that are further from the depth camera. Techniques disclosed herein may involve using a meshing algorithm that combines multi-resolution voxel information stored in multiple hash tables to generate a single mesh.

    Toggling Operating Modes For Generating 3D Representations

    公开(公告)号:US20230215081A1

    公开(公告)日:2023-07-06

    申请号:US18093364

    申请日:2023-01-05

    Applicant: Apple Inc.

    CPC classification number: G06T15/20

    Abstract: Various implementations disclosed herein include devices, systems, and methods that adjusts operating modes for generating three-dimensional (3D) representations of a physical environment. For example, an example process may include acquiring sensor data by the one or more sensors in a physical environment and operating the device according to a first operating mode and a second operating mode during different periods of time. In the first operating mode (e.g., discovery mode), the device generates a 3D representation of the physical environment based on the sensor data and the device monitors one or more conditions to switch to the second operating mode. In the second operating mode (e.g., monitoring mode), the device monitors the one or more conditions to switch to the first operating mode and generates the 3D representation differently than the first operating mode.

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