3D VIEW MODEL GENERATION OF AN OBJECT UTILIZING GEOMETRICALLY DIVERSE IMAGE CLUSTERS

    公开(公告)号:US20210019937A1

    公开(公告)日:2021-01-21

    申请号:US16516155

    申请日:2019-07-18

    Abstract: A computer vision method, executed by one or more processors, for generating a single 3D model view of a geographic scene includes: receiving image data for the scene from a plurality of sensors located at different angles with respect to the geographic scene; dividing the image data into a plurality of image spatial regions; correlating the image data in each image spatial region to obtain a score for each image data in each image spatial region; grouping the image data in each image spatial region into two or more image clusters, based on the scores for each image; performing a multi-ray intersection within each image cluster to obtain a 3D reference point for each region; for each region, combining the one or more clusters, based on the 3D reference point for the region; and registering the combined clusters for each region to obtain a single 3D model view of the scene.

    3D view model generation of an object utilizing geometrically diverse image clusters

    公开(公告)号:US10930062B2

    公开(公告)日:2021-02-23

    申请号:US16516155

    申请日:2019-07-18

    Abstract: A computer vision method, executed by one or more processors, for generating a single 3D model view of a geographic scene includes: receiving image data for the scene from a plurality of sensors located at different angles with respect to the geographic scene; dividing the image data into a plurality of image spatial regions; correlating the image data in each image spatial region to obtain a score for each image data in each image spatial region; grouping the image data in each image spatial region into two or more image clusters, based on the scores for each image; performing a multi-ray intersection within each image cluster to obtain a 3D reference point for each region; for each region, combining the one or more clusters, based on the 3D reference point for the region; and registering the combined clusters for each region to obtain a single 3D model view of the scene.

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