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    Systems and methods for artificial intelligence-based virtual and augmented reality
    4.
    发明授权
    Systems and methods for artificial intelligence-based virtual and augmented reality 有权

    公开(公告)号：US11315325B2

    公开(公告)日：2022-04-26

    申请号：US16596610

    申请日：2019-10-08

    Applicant: Magic Leap, Inc.

    Inventor： Andrew Rabinovich ,  John Monos

    IPC: G06T19/00 ,  G02B27/01 ,  G06T15/00 ,  G06F3/01 ,  G06F21/53 ,  G06F1/16

    Abstract: Examples of the disclosure describe systems and methods for generating and displaying a virtual companion. In an example method, a first input from an environment of a user is received at a first time via a first sensor on a head-wearable device. An occurrence of an event in the environment is determined based on the first input. A second input from the user is received via a second sensor on the head-wearable device, and an emotional reaction of the user is identified based on the second input. An association is determined between the emotional reaction and the event. A view of the environment is presented at a second time later than the first time via a see-through display of the head-wearable device. A stimulus is presented at the second time via a virtual companion displayed via the see-through display, wherein the stimulus is determined based on the determined association between the emotional reaction and the event.

    Image-enhanced depth sensing via depth sensor control
    6.
    发明授权
    Image-enhanced depth sensing via depth sensor control 有权

    公开(公告)号：US11128854B2

    公开(公告)日：2021-09-21

    申请号：US16352522

    申请日：2019-03-13

    Applicant: Magic Leap, Inc.

    Inventor： Vijay Badrinarayanan ,  Zhao Chen ,  Andrew Rabinovich ,  Elad Joseph

    IPC: G06K9/00 ,  H04N13/271 ,  H04N13/128 ,  G06T7/593 ,  H04N13/00 ,  G06T19/00

    Abstract: Systems and methods are disclosed for computing depth maps. One method includes capturing, using a camera, a camera image of a runtime scene. The method may also include analyzing the camera image of the runtime scene to determine a plurality of target sampling points at which to capture depth of the runtime scene. The method may further include adjusting a setting associated with a low-density depth sensor based on the plurality of target sampling points. The method may further include capturing, using the low-density depth sensor, a low-density depth map of the runtime scene at the plurality of target sampling points. The method may further include generating a computed depth map of the runtime scene based on the camera image of the runtime scene and the low-density depth map of the runtime scene.

    METHOD AND SYSTEM FOR PERFORMING EYE TRACKING USING AN OFF-AXIS CAMERA
    8.
    发明申请
    METHOD AND SYSTEM FOR PERFORMING EYE TRACKING USING AN OFF-AXIS CAMERA 有权

    公开(公告)号：US20210182554A1

    公开(公告)日：2021-06-17

    申请号：US17129669

    申请日：2020-12-21

    Applicant: Magic Leap, Inc.

    Inventor： Vijay Badrinarayanan ,  Zhengyang Wu ,  Srivignesh Rajendran ,  Andrew Rabinovich

    IPC: G06K9/00 ,  G06T7/11 ,  G06T7/00 ,  G06N3/08

    Abstract: Systems and methods for estimating a gaze vector of an eye using a trained neural network. An input image of the eye may be received from a camera. The input image may be provided to the neural network. Network output data may be generated using the neural network. The network output data may include two-dimensional (2D) pupil data, eye segmentation data, and/or cornea center data. The gaze vector may be computed based on the network output data. The neural network may be previously trained by providing a training input image to the neural network, generating training network output data, receiving ground-truth (GT) data, computing error data based on a difference between the training network output data and the GT data, and modifying the neural network based on the error data.

    ROOM LAYOUT ESTIMATION METHODS AND TECHNIQUES
    9.
    发明申请
    ROOM LAYOUT ESTIMATION METHODS AND TECHNIQUES 审中-公开

    公开(公告)号：US20200234051A1

    公开(公告)日：2020-07-23

    申请号：US16844812

    申请日：2020-04-09

    Applicant: Magic Leap, Inc.

    Inventor： Chen-Yu Lee ,  Vijay Badrinarayanan ,  Tomasz Jan Malisiewicz ,  Andrew Rabinovich

    IPC: G06K9/00 ,  G06N3/04 ,  G06K9/46 ,  G06K9/34 ,  G06K9/62 ,  G06N3/08

    Abstract: Systems and methods for estimating a layout of a room are disclosed. The room layout can comprise the location of a floor, one or more walls, and a ceiling. In one aspect, a neural network can analyze an image of a portion of a room to determine the room layout. The neural network can comprise a convolutional neural network having an encoder sub-network, a decoder sub-network, and a side sub-network. The neural network can determine a three-dimensional room layout using two-dimensional ordered keypoints associated with a room type. The room layout can be used in applications such as augmented or mixed reality, robotics, autonomous indoor navigation, etc.

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