INTRINSIC PARAMETERS ESTIMATION IN VISUAL TRACKING SYSTEMS

    公开(公告)号:US20220375128A1

    公开(公告)日:2022-11-24

    申请号:US17448655

    申请日:2021-09-23

    Applicant: Snap Inc.

    Abstract: A method for adjusting camera intrinsic parameters of a multi-camera visual tracking device is described. In one aspect, a method for calibrating the multi-camera visual tracking system includes disabling a first camera of the multi-camera visual tracking system while a second camera of the multi-camera visual tracking system is enabled, detecting a first set of features in a first image generated by the first camera after detecting that the temperature of the first camera is within the threshold of the factory calibration temperature of the first camera, and accessing and correcting intrinsic parameters of the second camera based on the projection of the first set of features in the second image and a second set of features in the second image.

    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.

    Rolling shutter camera pipeline exposure timestamp error determination

    公开(公告)号:US12108027B2

    公开(公告)日:2024-10-01

    申请号:US18141833

    申请日:2023-05-01

    Applicant: Snap Inc.

    CPC classification number: H04N17/002 H04N23/56 H04N25/531

    Abstract: Camera pipeline exposure timestamp error determination methods and systems that detect latency in rolling shutter camera systems. The exposure timestamp error determination system includes a rolling shutter image sensor configured to capture an image and a processor. The processor determines timestamp error by capturing the image using the rolling shutter image sensor where the image includes a bar code encoded with a barcode timestamp. The processor then obtains a system exposure timestamp corresponding to capture of the image by the rolling shutter image sensor and the barcode timestamp by decoding the bar code. Pipeline exposure timestamp error is then determined for the rolling shutter camera system by comparing the obtained barcode timestamp to the system exposure timestamp.

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