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Collaborative feature extraction system for three dimensional datasets

  • US 8,811,748 B2
  • Filed: 05/21/2012
  • Issued: 08/19/2014
  • Est. Priority Date: 05/20/2011
  • Status: Active Grant
First Claim
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1. A collaborative feature extraction system, comprising:

  • a knowledge base containing a first dataset, the first dataset comprising parameters that are associated with one or more assets;

    a second dataset, the second dataset comprising three-dimensional data representing a geographic area and one or more candidate objects within the geographic area;

    a processor in electronic communication with the knowledge base; and

    a computer-readable medium containing programming instructions that, when executed, cause the processor to;

    analyze the three-dimensional data to identify one of the candidate objects as a selected one of the assets by comparing the second dataset with one or more of the parameters in the first dataset;

    output, to multiple users, a first image representing the identified candidate object and a user prompt;

    in response to the user prompt, receive user responses from each of the multiple users indicating whether the selected asset matches the identified candidate object; and

    based on receipt of user responses from a threshold number of users that indicate the selected asset matches the identified candidate object and when the identified candidate object has attributes that are at an edge of a parameter range for the selected asset, update the knowledge base by expanding the parameter range associated with the selected asset.

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