EYEWEAR WITH INTER-PUPILLARY DISTANCE ESTIMATION

    公开(公告)号:US20240341591A1

    公开(公告)日:2024-10-17

    申请号:US18133870

    申请日:2023-04-12

    Applicant: Snap Inc.

    CPC classification number: A61B3/111

    Abstract: An eyewear device including a sensor used to measure deformation of an eyewear frame to estimate an inter-pupillary distance (IPD) of an eyewear user. The sensor is used to determine head breadth (HB) of the user and to estimate the IPD of the user. A processor displays an image on a display of the eyewear as a function of the estimated IPD to improve virtual object rendering for an improved augmented reality (AR) viewing experience while reducing vergence accommodation mismatch (VAM). User profile data, such as age and gender, can be used to generate a more accurate estimated IPD of the user.

    JOINT BENDING ESTIMATION
    13.
    发明公开

    公开(公告)号:US20240280355A1

    公开(公告)日:2024-08-22

    申请号:US18172874

    申请日:2023-02-22

    Applicant: Snap Inc.

    Abstract: A system for correcting for frame bending of an augmented reality system is provided. A combination of strain gauges and visual inertial odometry is used to determine strains in the frame. An initial model between strain gauge measurements and actual frame spatial relationships is based on finite element analysis or calibration. During an initial visual inertial odometry data calculation phase, the augmented reality system calculates bending or strains of the frame using strain data from the strain gauges mounted to the frame. Subsequent visual inertial odometry data calculations are used to generate a corrected frame model of the frame. The corrected frame model is used for calculating corrected tracking data and corrected virtual overlays that are used to generate virtual overlays used in an AR experience provided by the augmented reality system.

    Periodic parameter estimation for visual-inertial tracking systems

    公开(公告)号:US11662805B2

    公开(公告)日:2023-05-30

    申请号:US17301655

    申请日:2021-04-09

    Applicant: Snap Inc.

    CPC classification number: G06F3/012 G06F3/038 H04L67/131 G06F2203/0383

    Abstract: A method for calibrating a visual-inertial tracking system is described. A device operates the visual-inertial tracking system without receiving a tracking request from a virtual object display application. In response to operating the visual-inertial tracking system, the device accesses sensor data from sensors at the device. The device identifies, based on the sensor data, a first calibration parameter value of the visual-inertial tracking system and stores the first calibration parameter value. The system detects a tracking request from the virtual object display application. In response to the tracking request, the system accesses the first calibration parameter value and determines a second calibration parameter value from the first calibration parameter value.

    DIRECT SCALE LEVEL SELECTION FOR MULTILEVEL FEATURE TRACKING UNDER MOTION BLUR

    公开(公告)号:US20220377238A1

    公开(公告)日:2022-11-24

    申请号:US17521109

    申请日:2021-11-08

    Applicant: Snap Inc.

    Abstract: A method for mitigating motion blur in a visual-inertial tracking system is described. In one aspect, the method includes accessing a first image generated by an optical sensor of the visual tracking system, accessing a second image generated by the optical sensor of the visual tracking system, the second image following the first image, determining a first motion blur level of the first image, determining a second motion blur level of the second image, identifying a scale change between the first image and the second image, determining a first optimal scale level for the first image based on the first motion blur level and the scale change, and determining a second optimal scale level for the second image based on the second motion blur level and the scale change.

    DYNAMIC INITIALIZATION OF 3DOF AR TRACKING SYSTEM

    公开(公告)号:US20220374091A1

    公开(公告)日:2022-11-24

    申请号:US17524423

    申请日:2021-11-11

    Applicant: Snap Inc.

    Abstract: A method for dynamically initializing a 3 degrees of freedom (3DOF) tracking device is described. In one aspect, the method includes accessing a gyroscope signal from a gyroscope of the 3DOF tracking device, accessing an accelerometer signal from an accelerometer of the 3DOF tracking device, determining an initial state includes a combination of an initial orientation, an initial position, and an initial velocity of the 3DOF tracking device, the initial state indicating a starting condition of the 3DOF tracking device, integrating the gyroscope signal and the accelerometer signal to obtain orientation and position signals using the initial state, and refining an inclination signal of the orientation signal using the position signal.

    SELECTIVE IMAGE PYRAMID COMPUTATION FOR MOTION BLUR MITIGATION IN VISUAL-INERTIAL TRACKING

    公开(公告)号:US20250037249A1

    公开(公告)日:2025-01-30

    申请号:US18915975

    申请日:2024-10-15

    Applicant: Snap Inc.

    Abstract: A method for mitigating motion blur in a visual tracking system is described. In one aspect, a method for selective motion blur mitigation in a visual tracking system includes accessing a first image generated by an optical sensor of the visual tracking system, identifying camera operating parameters of the optical sensor during the optical sensor generating the first image, determining a motion of the optical sensor during the optical sensor generating the first image, determining a motion blur level of the first image based on the camera operating parameters of the optical sensor and the motion of the optical sensor, and determining whether to downscale the first image using a pyramid computation algorithm based on the motion blur level.

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