Graphical fiducial marker identification suitable for augmented reality, virtual reality, and robotics

    公开(公告)号:US11113819B2

    公开(公告)日:2021-09-07

    申请号:US16248135

    申请日:2019-01-15

    Abstract: In various examples, image data may be received that represents an image. Corner detection may be used to identify pixels that may be candidate corner points. The image data may be converted from a higher dimensional color space to a converted image in a lower dimensional color space, and boundaries may be identified within the converted image. A set of the candidate corner points may be determined that are within a threshold distance to one of the boundaries, and the set of the candidate corner points may be analyzed to determine a subset of the candidate corner points representative of corners of polygons. Using the subset of the candidate corner points, one or more polygons may be identified, and a filter may be applied to the polygons to identify a polygon as corresponding to a fiducial marker boundary of a fiducial marker.

    GRAPHICAL FIDUCIAL MARKER IDENTIFICATION

    公开(公告)号:US20210366124A1

    公开(公告)日:2021-11-25

    申请号:US17393615

    申请日:2021-08-04

    Abstract: In various examples, image data may be received that represents an image. Corner detection may be used to identify pixels that may be candidate corner points. The image data may be converted from a higher dimensional color space to a converted image in a lower dimensional color space, and boundaries may be identified within the converted image. A set of the candidate corner points may be determined that are within a threshold distance to one of the boundaries, and the set of the candidate corner points may be analyzed to determine a subset of the candidate corner points representative of corners of polygons. Using the subset of the candidate corner points, one or more polygons may be identified, and a filter may be applied to the polygons to identify a polygon as corresponding to a fiducial marker boundary of a fiducial marker.

    GRAPHICAL FIDUCIAL MARKER IDENTIFICATION SUITABLE FOR AUGMENTED REALITY, VIRTUAL REALITY, AND ROBOTICS

    公开(公告)号:US20200226762A1

    公开(公告)日:2020-07-16

    申请号:US16248135

    申请日:2019-01-15

    Abstract: In various examples, image data may be received that represents an image. Corner detection may be used to identify pixels that may be candidate corner points. The image data may be converted from a higher dimensional color space to a converted image in a lower dimensional color space, and boundaries may be identified within the converted image. A set of the candidate corner points may be determined that are within a threshold distance to one of the boundaries, and the set of the candidate corner points may be analyzed to determine a subset of the candidate corner points representative of corners of polygons. Using the subset of the candidate corner points, one or more polygons may be identified, and a filter may be applied to the polygons to identify a polygon as corresponding to a fiducial marker boundary of a fiducial marker.

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