LOW LATENCY HAND-TRACKING IN AUGMENTED REALITY SYSTEMS

    公开(公告)号:US20240273843A1

    公开(公告)日:2024-08-15

    申请号:US18645277

    申请日:2024-04-24

    Applicant: Snap Inc.

    Abstract: A method for reducing motion-to-photon latency for hand tracking is described. In one aspect, a method includes accessing a first frame from a camera of an Augmented Reality (AR) device, tracking a first image of a hand in the first frame, rendering virtual content based on the tracking of the first image of the hand in the first frame, accessing a second frame from the camera before the rendering of the virtual content is completed, the second frame immediately following the first frame, tracking, using the computer vision engine of the AR device, a second image of the hand in the second frame, generating an annotation based on tracking the second image of the hand in the second frame, forming an annotated virtual content based on the annotation and the virtual content, and displaying the annotated virtual content in a display of the AR device.

    Visual-inertial tracking using rolling shutter cameras

    公开(公告)号:US12028626B2

    公开(公告)日:2024-07-02

    申请号:US18098939

    申请日:2023-01-19

    Applicant: Snap Inc.

    Abstract: Visual-inertial tracking of an eyewear device using a rolling shutter camera(s). The eyewear device includes a position determining system. Visual-inertial tracking is implemented by sensing motion of the eyewear device. An initial pose is obtained for a rolling shutter camera and an image of an environment is captured. The image includes feature points captured at a particular capture time. A number of poses for the rolling shutter camera is computed based on the initial pose and sensed movement of the device. The number of computed poses is responsive to the sensed movement of the mobile device. A computed pose is selected for each feature point in the image by matching the particular capture time for the feature point to the particular computed time for the computed pose. The position of the mobile device is determined within the environment using the feature points and the selected computed poses for the feature points.

    Varied depth determination using stereo vision and phase detection auto focus (PDAF)

    公开(公告)号:US11974060B2

    公开(公告)日:2024-04-30

    申请号:US18129009

    申请日:2023-03-30

    Applicant: Snap Inc.

    CPC classification number: H04N5/2226 H04N23/45 H04N23/672

    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for varied depth determination using, stereo vision and phase detection auto focus (PDAF). Computer stereo vision (stereo vision) is used to extract three-dimensional information from digital images. To utilize stereo vison, two optical sensors are displaced horizontally from one another and used to capture images depicting two differing views of a real-world environment from two different vantage points. The relative depth of the objects captured in the images is determined using triangulation by comparing the relative positions of the objects in the two images. For example, the relative positions of matching objects (e.g., features) identified in the captured images are used along with the known orientation of the optical sensors (e.g., distance between the optical sensors, vantage points the optical sensors) to estimate the depth of the objects.

    System for using digital light projectors for augmented reality

    公开(公告)号:US11614618B2

    公开(公告)日:2023-03-28

    申请号:US17301657

    申请日:2021-04-09

    Applicant: Snap Inc.

    Abstract: A method for configuring a digital light projector (DLP) of an augmented reality (AR) display device is described. A light source component of the DLP projector is configured to generate a single red-green-blue color sequence repetition per image frame. The AR display device identifies a color sequence of the light source component of the DLP projector and tracks a motion of the AR display device. The AR display device adjusts an operation of the DLP projector based on the single red-green-blue color sequence repetition, the color sequence of the light source component of the DLP projector, and the motion of the AR display device.

    VARIED DEPTH DETERMINATION USING STEREO VISION AND PHASE DETECTION AUTO FOCUS (PDAF)

    公开(公告)号:US20220377209A1

    公开(公告)日:2022-11-24

    申请号:US17746292

    申请日:2022-05-17

    Applicant: Snap Inc.

    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for varied depth determination using stereo vision and phase detection auto focus (PDAF). Computer stereo vision (stereo vision) is used to extract three-dimensional information from digital images. To utilize stereo vision, two optical sensors are displaced horizontally from one another and used to capture images depicting two differing views of a real-world environment from two different vantage points. The relative depth of the objects captured in the images is determined using triangulation by comparing the relative positions of the objects in the two images. For example, the relative positions of matching objects (e.g., features) identified in the captured images are used along with the known orientation of the optical sensors (e.g., distance between the optical sensors, vantage points the optical sensors) to estimate the depth of the objects.

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