/// <summary>
/// Computes the Delaunay triangulation.
/// </summary>
/// <typeparam name="TVertex">The type of the t vertex.</typeparam>
/// <typeparam name="TCell">The type of the t cell.</typeparam>
/// <param name="data">The data.</param>
/// <param name="PlaneDistanceTolerance">The plane distance tolerance.</param>
/// <returns>TCell[].</returns>
internal static TCell[] GetDelaunayTriangulation <TVertex, TCell>(IList <TVertex> data,
double PlaneDistanceTolerance)
where TCell : TriangulationCell <TVertex, TCell>, new()
where TVertex : IVertex
{
var ch = new ConvexHullAlgorithm(data.Cast <IVertex>().ToArray(), true, PlaneDistanceTolerance);
ch.GetConvexHull();
ch.RemoveUpperFaces();
return(ch.GetConvexFaces <TVertex, TCell>());
}
/// <summary>
/// Create the manager.
/// </summary>
/// <param name="hull">The hull.</param>
public ObjectManager(ConvexHullAlgorithm hull)
{
Dimension = hull.NumOfDimensions;
Hull = hull;
FacePool = hull.FacePool;
FacePoolSize = 0;
FacePoolCapacity = hull.FacePool.Length;
FreeFaceIndices = new IndexBuffer();
EmptyBufferStack = new SimpleList <IndexBuffer>();
DeferredFaceStack = new SimpleList <DeferredFace>();
}
/// <summary>
/// The main function for the Convex Hull algorithm. It is static, but it creates
/// an instantiation of this class in order to allow for parallel execution.
/// Following this simple function, the constructor and the main function "FindConvexHull" is listed.
/// </summary>
/// <typeparam name="TVertex">The type of the vertices in the data.</typeparam>
/// <typeparam name="TFace">The desired type of the faces.</typeparam>
/// <param name="data">The data is the vertices as a collection of IVertices.</param>
/// <param name="PlaneDistanceTolerance">The plane distance tolerance.</param>
/// <returns>
/// MGSharp.MIConvexHull.ConvexHull<TVertex, TFace>.
/// </returns>
internal static ConvexHull <TVertex, TFace> GetConvexHull <TVertex, TFace>(IList <TVertex> data,
double PlaneDistanceTolerance)
where TFace : ConvexFace <TVertex, TFace>, new()
where TVertex : IVertex
{
var ch = new ConvexHullAlgorithm(data.Cast <IVertex>().ToArray(), false, PlaneDistanceTolerance);
ch.GetConvexHull();
if (ch.NumOfDimensions == 2)
{
return(ch.Return2DResultInOrder <TVertex, TFace>(data));
}
return(new ConvexHull <TVertex, TFace>
{
Points = ch.GetHullVertices(data),
Faces = ch.GetConvexFaces <TVertex, TFace>()
});
}
/// <summary>
/// Creates the Delaunay triangulation of the input data.
/// </summary>
/// <param name="data">The data.</param>
/// <param name="PlaneDistanceTolerance">The plane distance tolerance (default is 1e-10). If too high, points
/// will be missed. If too low, the algorithm may break. Only adjust if you notice problems.</param>
/// <returns>DelaunayTriangulation<TVertex, TCell>.</returns>
/// <exception cref="System.ArgumentNullException">data</exception>
/// <exception cref="ArgumentNullException">data</exception>
public static DelaunayTriangulation <TVertex, TCell> Create(IList <TVertex> data,
double PlaneDistanceTolerance)// = Constants.DefaultPlaneDistanceTolerance)
{
if (data == null)
{
throw new ArgumentNullException("data");
}
if (data.Count == 0)
{
return new DelaunayTriangulation <TVertex, TCell> {
Cells = new TCell[0]
}
}
;
var cells = ConvexHullAlgorithm.GetDelaunayTriangulation <TVertex, TCell>(data, PlaneDistanceTolerance);
return(new DelaunayTriangulation <TVertex, TCell> {
Cells = cells
});
}
}