CONTENT NAVIGATION WITH AUTOMATED CURATION

    公开(公告)号:US20210021551A1

    公开(公告)日:2021-01-21

    申请号:US16918343

    申请日:2020-07-01

    Applicant: Snap Inc.

    Abstract: Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system communicates at least a portion of a first content collection to a first client device, and receives a first selection communication in response, the first selection communication identifying a first piece of content of the first plurality of pieces of content. The server analyzes analyzing the first piece of content to identify a set of context values for the first piece of content, and accesses accessing a second content collection comprising pieces of content sharing at least a portion of the set of context values of the first piece of content. In various embodiments, different content values, image processing operations, and content selection operations are used to curate the content collections.

    IMAGE AND POINT CLOUD BASED TRACKING AND IN AUGMENTED REALITY SYSTEMS

    公开(公告)号:US20200219312A1

    公开(公告)日:2020-07-09

    申请号:US16824297

    申请日:2020-03-19

    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.

    Image and point cloud based tracking and in augmented reality systems

    公开(公告)号:US10657708B1

    公开(公告)日:2020-05-19

    申请号:US15971566

    申请日:2018-05-04

    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. A 3D point cloud data describing an environment is then accessed. A first image of an environment is captured, and a portion of the image is matched to a portion of key points in the 3D point cloud data. An augmented reality object is then aligned within one or more images of the environment based on the match of the 3D 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.

    ACOUSTIC NEURAL NETWORK SCENE DETECTION

    公开(公告)号:US20230088029A1

    公开(公告)日:2023-03-23

    申请号:US18071865

    申请日:2022-11-30

    Applicant: Snap Inc.

    Abstract: An acoustic environment identification system is disclosed that can use neural networks to accurately identify environments. The acoustic environment identification system can use one or more convolutional neural networks to generate audio feature data. A recursive neural network can process the audio feature data to generate characterization data. The characterization data can be modified using a weighting system that weights signature data items. Classification neural networks can be used to generate a classification of an environment.

    Image and point cloud based tracking and in augmented reality systems

    公开(公告)号:US11380051B2

    公开(公告)日:2022-07-05

    申请号:US17248833

    申请日:2021-02-10

    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.

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