3D reconstruction using wide-angle imaging devices

    公开(公告)号:US11335022B2

    公开(公告)日:2022-05-17

    申请号:US16897749

    申请日:2020-06-10

    Applicant: Snap Inc.

    Abstract: The pose of a wide-angle image is determined by dewarping regions of the wide-angle image, determining estimated poses of the dewarped regions of the wide-angle image and deriving a pose of the wide-angle image from the estimated poses of the of the dewarped regions. The estimated poses of the dewarped regions may be determined by comparing features in the dewarped regions with features in prior dewarped regions from one or more prior wide-angle images, as well as by comparing features in the dewarped regions with features in a point cloud.

    3D RECONSTRUCTION USING WIDE-ANGLE IMAGING DEVICES

    公开(公告)号:US20220230351A1

    公开(公告)日:2022-07-21

    申请号:US17714720

    申请日:2022-04-06

    Applicant: Snap Inc.

    Abstract: The pose of a wide-angle image is determined by dewarping regions of the wide-angle image, determining estimated poses of the dewarped regions of the wide-angle image and deriving a pose of the wide-angle image from the estimated poses of the of the dewarped regions. The estimated poses of the dewarped regions may be determined by comparing features in the dewarped regions with features in prior dewarped regions from one or more prior wide-angle images, as well as by comparing features in the dewarped regions with features in a point cloud.

    3D RECONSTRUCTION USING WIDE-ANGLE IMAGING DEVICES

    公开(公告)号:US20210390729A1

    公开(公告)日:2021-12-16

    申请号:US16897749

    申请日:2020-06-10

    Applicant: Snap Inc.

    Abstract: The pose of a wide-angle image is determined by dewarping regions of the wide-angle image, determining estimated poses of the dewarped regions of the wide-angle image and deriving a pose of the wide-angle image from the estimated poses of the of the dewarped regions. The estimated poses of the dewarped regions may be determined by comparing features in the dewarped regions with features in prior dewarped regions from one or more prior wide-angle images, as well as by comparing features in the dewarped regions with features in a point cloud.

    LOCATION MAPPING FOR LARGE SCALE AUGMENTED-REALITY

    公开(公告)号:US20220301122A1

    公开(公告)日:2022-09-22

    申请号:US17837713

    申请日:2022-06-10

    Applicant: Snap Inc.

    Abstract: An Augmented-Reality which performs operations that include: accessing a data object that comprises image data, location data, and orientation data; applying a transformation to the data object to produce a rectified data object; generating a point cloud based on the rectified data object; assigning the point cloud to a location based on at least the location data of the data object; detecting a client device at the location; and loading the point cloud to the client device in response to the detecting the client device at the location.

    Location mapping for large scale augmented-reality

    公开(公告)号:US11430091B2

    公开(公告)日:2022-08-30

    申请号:US16833160

    申请日:2020-03-27

    Applicant: Snap Inc.

    Abstract: An Augmented-Reality which performs operations that include: accessing a data object that comprises image data, location data, and orientation data; applying a transformation to the data object to produce a rectified data object; generating a point cloud based on the rectified data object, assigning the point cloud to a location based on at least the location data of the data object; detecting a client device at the location; and loading the point cloud to the client device in response to the detecting the client device at the location.

    LOCATION MAPPING FOR LARGE SCALE AUGMENTED-REALITY

    公开(公告)号:US20210304369A1

    公开(公告)日:2021-09-30

    申请号:US16833160

    申请日:2020-03-27

    Applicant: Snap Inc.

    Abstract: An Augmented-Reality which performs operations that include: accessing a data object that comprises image data, location data, and orientation data; applying a transformation to the data object to produce a rectified data object; generating a point cloud based on the rectified data object, assigning the point cloud to a location based on at least the location data of the data object; detecting a client device at the location; and loading the point cloud to the client device in response to the detecting the client device at the location.

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