Surface normals for pixel-aligned object

    公开(公告)号:US12148105B2

    公开(公告)日:2024-11-19

    申请号:US17841994

    申请日:2022-06-16

    Applicant: Snap Inc.

    Abstract: Methods and systems are disclosed for performing operations for applying augmented reality elements to a person depicted in an image. The operations include receiving an image that includes data representing a depiction of a person; generating a segmentation of the data representing the person depicted in the image; extracting a portion of the image corresponding to the segmentation of the data representing the person depicted in the image; applying a machine learning model to the portion of the image to predict a surface normal tensor for the data representing the depiction of the person, the surface normal tensor representing surface normals of each pixel within the portion of the image; and applying one or more augmented reality (AR) elements to the image based on the surface normal tensor.

    Pixel depth determination for object

    公开(公告)号:US12254577B2

    公开(公告)日:2025-03-18

    申请号:US17842006

    申请日:2022-06-16

    Applicant: Snap Inc.

    Abstract: Methods and systems are disclosed for performing operations for applying augmented reality elements to a person depicted in an image. The operations include receiving an image that includes data representing a depiction of a person; extracting a portion of the image; applying a first machine learning model stage to the portion to predict a depth of a point of interest for the data representing the depiction of the person; applying a second machine learning model stage to the portion of the image to predict a relative depth of each pixel in the portion of the image to the predicted depth of the point of interest; generating dense depth reconstruction of the data representing the depiction of the person based on outputs of the first and second stages of the machine learning model; and applying one or more AR elements to the image based on the dense depth reconstruction.

    External mesh with vertex attributes

    公开(公告)号:US11836862B2

    公开(公告)日:2023-12-05

    申请号:US17498394

    申请日:2021-10-11

    Applicant: Snap Inc.

    Abstract: Methods and systems are disclosed for performing operations for deforming an external mesh. The operations comprise receiving a video that includes a depiction of a real-world object. The operations comprise generating a three-dimensional (3D) body mesh associated with the real-world object that tracks movement of the real-world object across frames of the video. The operations comprise obtaining an external mesh associated with an Augmented-Reality (AR) element. The operations comprise accessing a plurality of deformation attributes associated with the external mesh, each attribute corresponding to a different deformation model. The operations comprise separately deforming, based on respective deformation models, a first portion of the external mesh and a second portion of the external mesh. The operations comprise modifying the video to include a display of the AR element based on the separately deformed first and second portions of the external mesh.

    Inferring intent from pose and speech input

    公开(公告)号:US11790614B2

    公开(公告)日:2023-10-17

    申请号:US17498510

    申请日:2021-10-11

    Applicant: Snap Inc.

    CPC classification number: G06T19/006 G06T7/70 G06V40/10 G10L15/08 G10L2015/088

    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for performing operations comprising receiving an image that depicts a person, identifying a set of skeletal joints of the person and identifying a pose of the person depicted in the image based on positioning of the set of skeletal joints. The operations also include receiving speech input comprising a request to perform an AR operation and an ambiguous intent, discerning the ambiguous intent of the speech input based on the pose of the person depicted in the image and in response to receiving the speech input, performing the AR operation based on discerning the ambiguous intent of the speech input based on the pose of the person depicted in the image.

    Body fitted accessory with physics simulation

    公开(公告)号:US11663792B2

    公开(公告)日:2023-05-30

    申请号:US17468774

    申请日:2021-09-08

    Applicant: Snap Inc.

    CPC classification number: G06T19/006 G06T19/20 G06T2219/2021

    Abstract: Methods and systems are disclosed for performing operations comprising: receiving video that includes a depiction of a real-world object; generating a three-dimensional (3D) body mesh associated with the real-world object that tracks movement of the real-world object across frames of the video; obtaining an external mesh associated with an augmented reality (AR) element; determining that a first portion of the external mesh is associated with movement information of the 3D body mesh; determining that a second portion of the external mesh is associated with movement information of an external force model; deforming the first and second portions of the external mesh separately based on movement information of the 3D body mesh and movement information of the external force model; and modifying the video to include a display of the AR element based on the deformed first and second portions of the external mesh.

    DEFORMING CUSTOM MESH BASED ON BODY MESH

    公开(公告)号:US20230061875A1

    公开(公告)日:2023-03-02

    申请号:US17446533

    申请日:2021-08-31

    Applicant: Snap Inc.

    Abstract: Methods and systems are disclosed for performing operations comprising: receiving a video that includes a depiction of a real-world object; generating a three-dimensional (3D) body mesh associated with the real-world object that tracks movement of the real-world object across frames of the video; obtaining an external mesh associated with an augmented reality element; automatically establishing a correspondence between the 3D body mesh associated with the real-world object and the external mesh; deforming the external mesh based on movement of the real-world object and the established correspondence with the 3D body mesh; and modifying the video to include a display of the augmented reality element based on the deformed external mesh.

    Deforming real-world object using an external mesh

    公开(公告)号:US12198281B2

    公开(公告)日:2025-01-14

    申请号:US18382898

    申请日:2023-10-23

    Applicant: Snap Inc.

    Abstract: Methods and systems are disclosed for performing operations comprising: receiving a video that includes a depiction of a real-world object; generating a three-dimensional (3D) body mesh associated with the real-world object that tracks movement of the real-world object across frames of the video; determining UV positions of the real-world object depicted in the video to obtain pixel values associated with the UV positions; generating an external mesh and associated augmented reality (AR) element representing the real-world object based on the pixel values associated with the UV positions; deforming the external mesh based on changes to the 3D body mesh and a deformation parameter; and modifying the video to replace the real-world object with the AR element based on the deformed external mesh.

    PIXEL DEPTH DETERMINATION FOR OBJECT
    10.
    发明公开

    公开(公告)号:US20230316666A1

    公开(公告)日:2023-10-05

    申请号:US17842006

    申请日:2022-06-16

    Applicant: Snap Inc.

    CPC classification number: G06T19/006 G06V10/70 G06V10/26 G06V20/20 G06N20/20

    Abstract: Methods and systems are disclosed for performing operations for applying augmented reality elements to a person depicted in an image. The operations include receiving an image that includes data representing a depiction of a person; extracting a portion of the image; applying a first machine learning model stage to the portion to predict a depth of a point of interest for the data representing the depiction of the person; applying a second machine learning model stage to the portion of the image to predict a relative depth of each pixel in the portion of the image to the predicted depth of the point of interest; generating dense depth reconstruction of the data representing the depiction of the person based on outputs of the first and second stages of the machine learning model; and applying one or more AR elements to the image based on the dense depth reconstruction.

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