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.

    POSE CORRECTION FOR DIGITAL CONTENT

    公开(公告)号:US20220366597A1

    公开(公告)日:2022-11-17

    申请号:US17307920

    申请日:2021-05-04

    Abstract: Systems and techniques are provided for determining and applying corrected poses in digital content experiences. An example method can include receiving, from one or more sensors associated with an apparatus, inertial measurements and one or more frames of a scene; based on the one or more frames and the inertial measurements, determining, via a first filter, an angular and linear motion of the apparatus and a gravity vector indicating a direction of gravitational force interacting with the apparatus; when a motion of the apparatus is below a threshold, determining, via a second filter, an updated gravity vector indicating a direction of gravitational force interacting with the apparatus; determining, based on the updated gravity vector, parameters for aligning an axis of the scene with a gravity direction in a real-world spatial frame; and aligning, using the parameters, the axis of the scene with the gravity direction in the real-world spatial frame.

    SYSTEMS AND METHODS FOR PROVIDING IMMERSIVE EXTENDED REALITY EXPERIENCES ON MOVING PLATFORMS

    公开(公告)号:US20200271450A1

    公开(公告)日:2020-08-27

    申请号:US16284766

    申请日:2019-02-25

    Abstract: Systems, methods, and computer-readable media are provided for immersive extended reality experiences on mobile platforms. In some examples, a method can include obtaining sensor measurements from one or more sensors on a mobile platform and/or a device associated with a user in the mobile platform, the sensor measurements including motion parameters associated with the mobile platform and the user; identifying features of the mobile platform and an environment outside of the mobile platform; tracking, using the sensor measurements, a first pose of the mobile platform relative to the environment outside of the mobile platform; tracking, using the sensor measurements, a second pose of the user relative to at least one of the features of the mobile platform; and tracking, based on the first pose and the second pose, a third pose of the user relative to at least one of the features of the environment outside of the mobile platform.

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