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    Systems and methods for image stitching
    1.
    发明授权
    Systems and methods for image stitching 有权

    公开(公告)号：US10244164B1

    公开(公告)日：2019-03-26

    申请号：US15701062

    申请日：2017-09-11

    申请人： QUALCOMM Incorporated

    发明人： Sudipto Banerjee ,  Pushkar Gorur Sheshagiri ,  Pawan Kumar Baheti ,  Ajit Deepak Gupte ,  Ajit Venkat Rao

    IPC分类号： H04N5/232 ,  G06T3/40 ,  G06T3/00 ,  G06T7/292 ,  G06T7/50

    摘要： A method performed by an electronic device is described. The method includes receiving a plurality of images from a first camera with a first field of view and a second plurality of images from a second camera with a second field of view. An overlapping region exists between the first field of view and the second field of view. The method also includes predicting a disparity of a moving object present in a first image of the first plurality of images. The moving object is not present in a corresponding second image of the second plurality of images. The method further includes determining warp vectors based on the predicted disparity. The method additionally includes combining an image from the first plurality of images with an image from the second plurality of images based on the determined warp vectors.

    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

    申请人： QUALCOMM Incorporated

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

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

    摘要： 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).

    SYSTEMS AND METHODS FOR IMAGE STITCHING
    5.
    发明申请
    SYSTEMS AND METHODS FOR IMAGE STITCHING 审中-公开

    公开(公告)号：US20190082103A1

    公开(公告)日：2019-03-14

    申请号：US15701062

    申请日：2017-09-11

    申请人： QUALCOMM Incorporated

    发明人： Sudipto Banerjee ,  Pushkar Gorur Sheshagiri ,  Pawan Kumar Baheti ,  Ajit Deepak Gupte ,  Ajit Venkat Rao

    IPC分类号： H04N5/232 ,  G06T3/40 ,  G06T7/292 ,  G06T7/50

    摘要： A method performed by an electronic device is described. The method includes receiving a plurality of images from a first camera with a first field of view and a second plurality of images from a second camera with a second field of view. An overlapping region exists between the first field of view and the second field of view. The method also includes predicting a disparity of a moving object present in a first image of the first plurality of images. The moving object is not present in a corresponding second image of the second plurality of images. The method further includes determining warp vectors based on the predicted disparity. The method additionally includes combining an image from the first plurality of images with an image from the second plurality of images based on the determined warp vectors.

    Pose correction for digital content
    7.
    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

    申请人： QUALCOMM Incorporated

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

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

    CPC分类号： G06T7/73 ,  G02B27/0172 ,  G06T7/20 ,  G06T7/33 ,  G02B2027/014 ,  G02B2027/0138

    摘要： 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.

    Distributed pose estimation
    10.
    发明授权
    Distributed pose estimation 有权

    公开(公告)号：US11010921B2

    公开(公告)日：2021-05-18

    申请号：US16414664

    申请日：2019-05-16

    申请人： QUALCOMM Incorporated

    发明人： Chiranjib Choudhuri ,  Pushkar Gorur Sheshagiri ,  Ajit Deepak Gupte ,  Vinay Melkote Krishnaprasad ,  Chayan Sharma ,  Ajit Venkat Rao

    IPC分类号： G06T7/73 ,  G06F3/00 ,  G06T19/00 ,  G02B27/01 ,  G06F3/01

    摘要： Systems, methods, and computer-readable media are provided for distributed tracking and mapping for extended reality experiences. An example method can include computing, at a device, a pose of the device at a future time, the future time being determined based on a communication latency between the device and a mapping backend system; sending, to the mapping backend system, the pose of the device; receiving, from the mapping backend system, a map slice including map points corresponding to a scene associated with the device, the map slice being generated based on the pose of the device, wherein the map points correspond to the predicted pose; and computing an updated pose of the device based on the map slice.