Package boofcv.alg.fiducial.calib.squares

Class SquaresIntoCrossClusters

java.lang.Object
boofcv.alg.fiducial.calib.squares.SquaresIntoClusters
boofcv.alg.fiducial.calib.squares.SquaresIntoCrossClusters
public class SquaresIntoCrossClusters extends SquaresIntoClusters
Processes the detected squares in the image and connects them into clusters in which the corners of each square almost touches the corner of a neighbor.

  • Field Details

    • maxNeighbors

      public int maxNeighbors

  • Constructor Details

    • SquaresIntoCrossClusters

      public SquaresIntoCrossClusters(double maxCornerDistance, int maxNeighbors)
      Declares data structures and configures algorithm
      Parameters:
      maxCornerDistance - Maximum distance two corners can be in pixels.
      maxNeighbors - Max number of neighbors it will consider. Try 4 or -1 for all

  • Method Details

    • process

      public List<List<SquareNode>> process(List<DetectPolygonFromContour.Info> squares)
      Processes the unordered set of squares and creates a graph out of them using prior knowledge and geometric constraints.
      Parameters:
      squares - Set of squares
      Returns:
      List of graphs. All data structures are recycled on the next call to process().

    • getMaxCornerDistance

      public double getMaxCornerDistance()

    • setMaxCornerDistance

      public void setMaxCornerDistance(double maxCornerDistance)