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Object separation for scanned assets

  • US 10,366,470 B2
  • Filed: 12/11/2017
  • Issued: 07/30/2019
  • Est. Priority Date: 12/11/2017
  • Status: Active Grant
First Claim
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1. A computer system comprising:

  • at least one processor;

    at least one interface configured to receive a scanned virtual model;

    at least one memory comprising instructions configured to cause the system to perform a method separating a plurality of vertices associated with a clothing asset from a plurality of vertices associated with one or more objects other than the clothing asset, the method comprising;

    receiving a first set of color values associated with the clothing asset;

    receiving a second set of color values associated with a non-clothing object;

    generating a first plurality of training feature vectors from the first set of color values;

    generating a second plurality of training feature vectors from the second set of color values;

    determining a plurality of feature component weights by providing the first plurality of feature vectors and the second plurality of feature vectors to a classifier;

    receiving, via the at least one interface, the virtual model, the virtual model comprising;

    a plurality of vertices, a first set of the plurality of vertices associated with clothing asset data and a second set of the plurality of vertices associated with non-clothing asset data; and

    a map associating each vertex from the plurality of vertices with a corresponding color value; and

    for a vertex of the plurality of vertices;

    determining a color value associated with the vertex in the map;

    generating a test feature vector based upon the color value;

    applying the plurality of feature component weights to the test feature vector to determine a metric value; and

    designating the vertex of the plurality of vertices for removal based upon the metric value.

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