DIRECT SCALE LEVEL SELECTION FOR MULTILEVEL FEATURE TRACKING UNDER MOTION BLUR

    公开(公告)号:US20250071422A1

    公开(公告)日:2025-02-27

    申请号:US18947329

    申请日:2024-11-14

    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.

    VISUAL-INERTIAL TRACKING USING ROLLING SHUTTER CAMERAS

    公开(公告)号:US20240314461A1

    公开(公告)日:2024-09-19

    申请号:US18677296

    申请日:2024-05-29

    Applicant: Snap Inc.

    Abstract: Visual-inertial tracking of an eyewear device using a rolling shutter camera(s). The device includes a position determining system. Visual-inertial tracking is implemented by sensing motion of the 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.

    LONG TERM IN-FIELD IMU TEMPERATURE CALIBRATION

    公开(公告)号:US20240192024A1

    公开(公告)日:2024-06-13

    申请号:US18063450

    申请日:2022-12-08

    Applicant: Snap Inc.

    CPC classification number: G01C25/005 G01C21/1656 G06F3/012

    Abstract: A method for calibrating a visual-inertial tracking system is described. In one aspect, a method includes measuring a temperature of an inertial measurement unit (IMU) of a visual-inertial tracking system, identifying, from an IMU parametric model of an IMU calibration module, an IMU intrinsic parameter estimate corresponding to the temperature, determining an online IMU intrinsic parameter estimate by operating the visual-inertial tracking system with the IMU intrinsic parameter estimate, providing the online IMU intrinsic parameter estimate to the IMU calibration module, and updating and incorporating the IMU parametric model with the online IMU intrinsic parameter estimate.

    Dynamic initialization of 3DOF AR tracking system

    公开(公告)号:US11941184B2

    公开(公告)日:2024-03-26

    申请号:US17524423

    申请日:2021-11-11

    Applicant: Snap Inc.

    CPC classification number: G06F3/0346 G06F3/038

    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.

    DEPTH-FROM-STEREO BENDING CORRECTION USING VISUAL INERTIAL ODOMETRY FEATURES

    公开(公告)号:US20240029302A1

    公开(公告)日:2024-01-25

    申请号:US18373554

    申请日:2023-09-27

    Applicant: Snap Inc.

    CPC classification number: G06T7/74 G06T7/593 G06T7/33 G06T19/006 H04N13/239

    Abstract: A method for correcting a bending of a flexible device is described. In one aspect, the method includes accessing feature data of a first stereo frame that is generated by stereo optical sensors of the flexible device, the feature data generated based on a visual-inertial odometry (VIO) system of the flexible device, accessing depth map data of the first stereo frame, the depth map data generated based on a depth map system of the flexible device, estimating a pitch-roll bias and a yaw bias based on the features data and the depth map data of the first stereo frame, and generating a second stereo frame after the first stereo frame, the second stereo frame based on the pitch-roll bias and the yaw bias of the first stereo frame.

Patent Agency Ranking