SPATIAL ANALYSIS WITH ATTRIBUTE GRAPHS
    78.
    发明申请

    公开(公告)号:US20170220902A1

    公开(公告)日:2017-08-03

    申请号:US15500916

    申请日:2014-07-31

    CPC classification number: G06K9/6224 G06K9/4638 G06T7/11 G06T7/162

    Abstract: Examples relate to providing spatial analysis using attribute graphs. In one examples, there are a number of spatial points that each represent characteristics in a dimensional space. Non-data points are generated in the dimensional space, and a Delaunay triangulation is performed using the spatial points and the non-data points to generate a plurality of edges, where interior points of the plurality of non-data points that are in an interior space of the plurality of spatial points are excluded from the Delaunay triangulation. Next, spatial edges from the plurality of edges that each connect a spatial point that is connected to a first mixed edge to another spatial point that is connected to a second mixed edge are identified, where the spatial edges are used to generate a robust contour of a cluster of the spatial points.

    Model prediction
    79.
    发明授权

    公开(公告)号:US12229890B2

    公开(公告)日:2025-02-18

    申请号:US17792674

    申请日:2020-01-31

    Abstract: Examples of methods for model prediction are described herein. In some examples, a method includes predicting a compensated model. In some examples, the compensated model is predicted based on a three-dimensional (3D) object model. In some examples, a method includes predicting a deformed model. In some examples, the deformed mode is predicted based on the compensated model.

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