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    Systems and methods for providing immersive extended reality experiences on moving platforms
    1.
    发明授权
    Systems and methods for providing immersive extended reality experiences on moving platforms 有权

    公开(公告)号：US10767997B1

    公开(公告)日：2020-09-08

    申请号：US16284766

    申请日：2019-02-25

    Applicant: QUALCOMM Incorporated

    Inventor： Pushkar Gorur Sheshagiri ,  Chayan Sharma ,  Chiranjib Choudhuri ,  Ajit Deepak Gupte

    IPC: G01C21/20 ,  G06T7/11 ,  G06F1/16 ,  G06T19/00 ,  G06N3/02

    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.

    Pose correction for digital content
    2.
    发明授权
    Pose correction for digital content 有权

    公开(公告)号：US11756227B2

    公开(公告)日：2023-09-12

    申请号：US17307920

    申请日：2021-05-04

    Applicant: QUALCOMM Incorporated

    Inventor： Srujan Babu Nandipati ,  Pushkar Gorur Sheshagiri ,  Chiranjib Choudhuri ,  Ajit Deepak Gupte ,  Gerhard Reitmayr

    IPC: G06T7/73 ,  G06T7/20 ,  G06T7/33 ,  G02B27/01

    CPC classification number: G06T7/73 ,  G02B27/0172 ,  G06T7/20 ,  G06T7/33 ,  G02B2027/014 ,  G02B2027/0138

    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.

    User authentication based on three-dimensional face modeling using partial face images
    3.
    发明授权
    User authentication based on three-dimensional face modeling using partial face images 有权

    公开(公告)号：US12147519B2

    公开(公告)日：2024-11-19

    申请号：US17932897

    申请日：2022-09-16

    Applicant: QUALCOMM Incorporated

    Inventor： Anupama S ,  Chiranjib Choudhuri ,  Avani Rao ,  Ajit Deepak Gupte

    IPC: G06F21/32 ,  G06V10/44 ,  G06V10/74 ,  G06V10/82 ,  G06V20/64 ,  G06V40/16

    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.

    Deep learning based head motion prediction for extended reality
    4.
    发明授权
    Deep learning based head motion prediction for extended reality 有权

    公开(公告)号：US11144117B1

    公开(公告)日：2021-10-12

    申请号：US16876754

    申请日：2020-05-18

    Applicant: QUALCOMM Incorporated

    Inventor： Chiranjib Choudhuri ,  Ajit Deepak Gupte ,  Pushkar Gorur Sheshagiri ,  Gerhard Reitmayr ,  Tom Edward Botterill

    IPC: G06F3/01 ,  G06N20/00 ,  G06N3/04 ,  G06N3/08 ,  G06F3/0346

    Abstract: Methods, systems, and devices for deep learning based head motion prediction for extended reality are described. The head pose prediction may involve training one or more layers of a machine learning network based on application data and an estimated head motion range associated with the extended reality system. The network may receive one or more bias corrected inertial measurement unit (IMU) measurements based on a sensor. The network may model a relative head pose of the user as a polynomial of time over a prediction interval based on the bias corrected IMU measurements and the trained one or more layers of the machine learning network. The network may determine a future relative head pose of the user based on the polynomial (e.g., which may be used for virtual object generation, display, etc. within an extended reality system).

    Keypoint detection and feature descriptor computation
    5.
    发明授权
    Keypoint detection and feature descriptor computation 有权

    公开(公告)号：US12236631B2

    公开(公告)日：2025-02-25

    申请号：US17484601

    申请日：2021-09-24

    Applicant: QUALCOMM Incorporated

    Inventor： Pushkar Gorur Sheshagiri ,  Ajit Deepak Gupte ,  Chiranjib Choudhuri ,  Gerhard Reitmayr ,  Youngmin Park

    IPC: G06T7/73 ,  G06T7/246 ,  G06V10/46 ,  G06V20/40

    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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