Periodic parameter estimation for visual-inertial tracking systems

    公开(公告)号:US12210672B2

    公开(公告)日:2025-01-28

    申请号:US18116511

    申请日:2023-03-02

    Applicant: Snap Inc.

    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:US12192625B2

    公开(公告)日:2025-01-07

    申请号:US18321565

    申请日:2023-05-22

    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: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.

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

    公开(公告)号:US20220375041A1

    公开(公告)日:2022-11-24

    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.

    ULTRA LOW POWER CAMERA PIPELINE FOR CV IN AR SYSTEMS

    公开(公告)号:US20220103752A1

    公开(公告)日:2022-03-31

    申请号:US17485761

    申请日:2021-09-27

    Applicant: Snap Inc.

    Abstract: An eyewear device having an image processor operable in a camera pipeline for computer vision (CV) and in augmented reality (AR) systems. The image processor is configured to selectively control a plurality of cameras to provide images having a first resolution in the high power AR mode, and to provide the images having a second resolution in the low power CV mode. The first resolution is higher than the second resolution, and the plurality of cameras consume less power in the CV mode than the AR mode. The image processor controls the camera pipeline to process the first resolution high IQ images from the plurality of cameras to operate in the AR mode, and controls the camera pipeline to process the second resolution lower IQ images from the plurality of cameras to operate in the CV mode. Substantial power is saved by reducing the resolution of the images using downscaling in the cameras themselves in the CV mode.

    Bending-assisted calibration for extended reality tracking

    公开(公告)号:US12271517B1

    公开(公告)日:2025-04-08

    申请号:US18478352

    申请日:2023-09-29

    Applicant: Snap Inc.

    Abstract: Bending data is used to facilitate tracking operations of an extended reality (XR) device, such as hand tracking or other object tracking operations. The XR device obtains bending data indicative of bending of the XR device to accommodate a body part of a user wearing the XR device. The XR device determines, based on the bending data, whether to use previously identified biometric data in a tracking operation. A mode of the XR device is selected responsive to determining whether to use the previously identified biometric data. The selected mode is used to initialize the tracking operation. The selected mode may be a first mode in which the previously identified biometric data is used in the tracking operation or a second mode in which the previously identified biometric data is not used in the tracking operation.

Patent Agency Ranking