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    Modulated image segmentation
    12.
    发明授权
    Modulated image segmentation 有权

    公开(公告)号：US11551059B1

    公开(公告)日：2023-01-10

    申请号：US16192457

    申请日：2018-11-15

    Applicant: Snap Inc.

    Inventor： Linjie Yang ,  Jianchao Yang ,  Xuehan Xiong ,  Yanran Wang

    IPC: G06T7/00 ,  G06N3/04 ,  G06N3/08 ,  G06T7/10 ,  G06F17/18 ,  H04L51/52

    Abstract: A modulated segmentation system can use a modulator network to emphasize spatial prior data of an object to track the object across multiple images. The modulated segmentation system can use a segmentation network that receives spatial prior data as intermediate data that improves segmentation accuracy. The segmentation network can further receive visual guide information from a visual guide network to increase tracking accuracy via segmentation.

    Neural networks for facial modeling
    13.
    发明授权
    Neural networks for facial modeling 有权

    公开(公告)号：US11100311B2

    公开(公告)日：2021-08-24

    申请号：US16509083

    申请日：2019-07-11

    Applicant: Snap Inc.

    Inventor： Jia Li ,  Xutao Lv ,  Xiaoyu Wang ,  Xuehan Xiong ,  Jianchao Yang

    IPC: G06K9/00 ,  G06T7/11 ,  G06K9/62

    Abstract: Systems, devices, media, and methods are presented for modeling facial representations using image segmentation with a client device. The systems and methods receive an image depicting a face, detect at least a portion of the face within the image, and identify a set of facial features within the portion of the face. The systems and methods generate a descriptor function representing the set of facial features, fit object functions of the descriptor function, identify an identification probability for each facial feature, and assign an identification to each facial feature.

    Virtual object machine learning
    14.
    发明授权
    Virtual object machine learning 有权

    公开(公告)号：US10579869B1

    公开(公告)日：2020-03-03

    申请号：US15653186

    申请日：2017-07-18

    Applicant: Snap Inc.

    Inventor： Xuehan Xiong ,  Zehao Xue

    IPC: G06K9/00 ,  G06T17/20 ,  G06N20/00

    Abstract: A machine learning scheme can be trained on a set of labeled training images of a subject in different poses, with different textures, and with different background environments. The label or marker data of the subject may be stored as metadata to a 3D model of the subject or rendered images of the subject. The machine learning scheme may be implemented as a supervised learning scheme that can automatically identify the labeled data to create a classification model. The classification model can classify a depicted subject in many different environments and arrangements (e.g., poses).

    Neural networks for facial modeling
    16.
    发明授权
    Neural networks for facial modeling 有权

    公开(公告)号：US10395100B1

    公开(公告)日：2019-08-27

    申请号：US16226084

    申请日：2018-12-19

    Applicant: Snap Inc.

    Inventor： Jia Li ,  Xutao Lv ,  Xiaoyu Wang ,  Xuehan Xiong ,  Jianchao Yang

    IPC: G06K9/00 ,  G06T7/11

    Abstract: Systems, devices, media, and methods are presented for modeling facial representations using image segmentation with a client device. The systems and methods receive an image depicting a face, detect at least a portion of the face within the image, and identify a set of facial features within the portion of the face. The systems and methods generate a descriptor function representing the set of facial features, fit object functions of the descriptor function, identify an identification probability for each facial feature, and assign an identification to each facial feature.

    Neural networks for facial modeling
    18.
    发明授权
    Neural networks for facial modeling 有权

    公开(公告)号：US10198626B2

    公开(公告)日：2019-02-05

    申请号：US15297789

    申请日：2016-10-19

    Applicant: Snap Inc.

    Inventor： Jia Li ,  Xutao Lv ,  Xiaoyu Wang ,  Xuehan Xiong ,  Jianchao Yang

    IPC: G06K9/00 ,  G06T7/00

    Abstract: Systems, devices, media, and methods are presented for modeling facial representations using image segmentation with a client device. The systems and methods receive an image depicting a face, detect at least a portion of the face within the image, and identify a set of facial features within the portion of the face. The systems and methods generate a descriptor function representing the set of facial features, fit object functions of the descriptor function, identify an identification probability for each facial feature, and assign an identification to each facial feature.

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