Revolving XR eyewear display
    1.
    发明授权

    公开(公告)号:US12092826B2

    公开(公告)日:2024-09-17

    申请号:US18128905

    申请日:2023-03-30

    申请人: Snap Inc.

    IPC分类号: G09G5/00 G02B27/01 G09G3/32

    摘要: An eXtended Reality (XR) display system includes a Light Emitting Diode (LED) display controller, and a Light Emitting Diode (LED) near-eye display element operatively coupled to the LED display driver. The LED near-eye display element includes one or more motors and an LED array operably connected to the one or more motors. During operation, the LED display driver receives video data including a rendered virtual object of an XR experience and generates LED array control signals based on the video data, the LED array control signals causing one or more LEDs of the LED array to be energized in a sequence. The LED display driver also generates synchronized motor control signals and simultaneously communicates the LED array control signals to the LED array and the synchronized motor control signals to the one or more motors causing the LED near-eye display element to display the rendered virtual object.

    SCENE CHANGE DETECTION WITH NOVEL VIEW SYNTHESIS

    公开(公告)号:US20230267691A1

    公开(公告)日:2023-08-24

    申请号:US17677821

    申请日:2022-02-22

    申请人: Snap Inc.

    发明人: Branislav Micusik

    摘要: A method for detecting changes in a scene includes accessing a first set of images and corresponding pose data in a first coordinate system associated with a first user session of an augmented reality (AR) device and accessing a second set of images and corresponding pose data in a second coordinate system associated with a second user session. The method identifies the first set of images corresponding to a second image from the second set of images based on the pose data of the first set of images being determined spatially closest to the pose data of the second image after aligning the first coordinate system and the second coordinate system. A trained neural network generates a synthesized image from the first set of images. Features of the second image are subtracted from features of the synthesized image. Area of changes are identified based on the subtracted features.

    REVOLVING XR EYEWEAR DISPLAY
    6.
    发明公开

    公开(公告)号:US20240176144A1

    公开(公告)日:2024-05-30

    申请号:US18128905

    申请日:2023-03-30

    申请人: Snap Inc.

    IPC分类号: G02B27/01 G09G3/32

    摘要: An extended Reality (XR) display system includes a Light Emitting Diode (LED) display controller, and a Light Emitting Diode (LED) near-eye display element operatively coupled to the LED display driver. The LED near-eye display element includes one or more motors and an LED array operably connected to the one or more motors. During operation, the LED display driver receives video data including a rendered virtual object of an XR experience and generates LED array control signals based on the video data, the LED array control signals causing one or more LEDs of the LED array to be energized in a sequence. The LED display driver also generates synchronized motor control signals and simultaneously communicates the LED array control signals to the LED array and the synchronized motor control signals to the one or more motors causing the LED near-eye display element to display the rendered virtual object.

    Scene change detection with novel view synthesis

    公开(公告)号:US12125150B2

    公开(公告)日:2024-10-22

    申请号:US17677821

    申请日:2022-02-22

    申请人: Snap Inc.

    发明人: Branislav Micusik

    摘要: A method for detecting changes in a scene includes accessing a first set of images and corresponding pose data in a first coordinate system associated with a first user session of an augmented reality (AR) device and accessing a second set of images and corresponding pose data in a second coordinate system associated with a second user session. The method identifies the first set of images corresponding to a second image from the second set of images based on the pose data of the first set of images being determined spatially closest to the pose data of the second image after aligning the first coordinate system and the second coordinate system. A trained neural network generates a synthesized image from the first set of images. Features of the second image are subtracted from features of the synthesized image. Area of changes are identified based on the subtracted features.