PROCESSING IMAGE DATA IN AN EXTENDED-REALITY SYSTEM

    公开(公告)号:US20240371043A1

    公开(公告)日:2024-11-07

    申请号:US18310045

    申请日:2023-05-01

    Abstract: Systems and techniques are described herein for processing image data. For instance, a method for processing image data is provided. The method may include capturing an image; determining at least one region of interest of the image based on at least one of object recognition, object tracking, hand tracking, semantic segmentation, saliency detection, or computer vision; encoding a first portion of the image according to a first parameter to generate first encoded data, the first portion of the image corresponding to the at least one region of interest; encoding a second portion of the image according to a second parameter to generate second encoded data; and transmitting, to a computing device, the first encoded data and the second encoded data.

    USER AUTHENTICATION BASED ON THREE-DIMENSIONAL FACE MODELING USING PARTIAL FACE IMAGES

    公开(公告)号:US20240104180A1

    公开(公告)日:2024-03-28

    申请号:US17932897

    申请日:2022-09-16

    CPC classification number: G06F21/32 G06V10/82 G06V40/171

    Abstract: Systems and techniques are provided for performing user authentication. For example, a process can include obtaining a plurality of images associated with a face and a facial expression of the user, wherein each respective image of the plurality of images includes a different portion of the face. An encoder neural network can be used to generate one or more predicted three-dimensional (3D) facial modeling parameters, wherein the encoder neural network generates the one or more predicted 3D facial modeling parameters based on the plurality of images. A reference 3D facial model associated with the face and the facial expression can be obtained. An error can be determined between the one or more predicted 3D facial modeling parameters and the reference 3D facial model, and the user can be authenticated user based on the error being less than a pre-determined authentication threshold.

    KEYPOINT DETECTION AND FEATURE DESCRIPTOR COMPUTATION

    公开(公告)号:US20230095621A1

    公开(公告)日:2023-03-30

    申请号:US17484601

    申请日:2021-09-24

    Abstract: Systems and techniques are described herein for processing frames. The systems and techniques can be implemented by various types of systems, such as by an extended reality (XR) system or device. In some cases, a process can include obtaining feature information associated with a feature in a current frame, wherein the feature information is based on one or more previous frames; determining an estimated pose of the apparatus associated with the current frame; obtaining a distance associated with the feature in the current frame; and determining an estimated scale of the feature in the current frame based on the feature information associated with the feature, the estimated pose, and the distance associated with the feature.

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