IMAGE AND POINT CLOUD BASED TRACKING AND IN AUGMENTED REALITY SYSTEMS

    公开(公告)号:US20220406008A1

    公开(公告)日:2022-12-22

    申请号:US17856720

    申请日:2022-07-01

    Applicant: Snap Inc.

    Abstract: Systems and methods for image based location estimation are described. In one example embodiment, a first positioning system is used to generate a first position estimate. Point cloud data describing an environment is then accessed. A two-dimensional surface of an image of an environment is captured, and a portion of the image is matched to a portion of key points in the point cloud data. An augmented reality object is then aligned within one or more images of the environment based on the match of the point cloud with the image. In some embodiments, building façade data may additionally be used to determine a device location and place the augmented reality object within an image.

    Neural networks for facial modeling

    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.

    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

    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.

    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

    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.

    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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