Package org.ddogleg.fitting.modelset

Interface ModelGenerator<Model,Point>

public interface ModelGenerator<Model,Point>
Given a set of points create a model hypothesis. In most applications just a single hypothesis will be generated. In SFM applications geometric ambiguities can cause multiple hypotheses to be created.

  • Method Summary

    Modifier and Type
    Method
    Description
    boolean
    generate(List<Point> dataSet, Model output)
    Creates a list of hypotheses from the set of sample points.
    int
    getMinimumPoints()
    The minimum number of points required to fit a data set

  • Method Details

    • generate

      boolean generate(List<Point> dataSet, Model output)
      Creates a list of hypotheses from the set of sample points.
      Parameters:
      dataSet - Set of sample points. Typically the minimum number possible.
      output - Storage for generated model.
      Returns:
      true if a model was generated, otherwise false is none were

    • getMinimumPoints

      int getMinimumPoints()
      The minimum number of points required to fit a data set
      Returns:
      Number of points.