Selective image pyramid computation for motion blur mitigation in visual-inertial tracking

    公开(公告)号:US12148128B2

    公开(公告)日:2024-11-19

    申请号:US17521081

    申请日:2021-11-08

    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.

    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.

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