Chapter 30
2D Triangulation Data Structure

Sylvain Pion and Mariette Yvinec

Table of Contents

30.1 Definition
   30.1.1   A Data Structure Based on Faces and Vertices
   30.1.2   The Set of Faces and Vertices
30.2 The Concept of Triangulation Data Structure
30.3 The Default Triangulation Data Structure
   30.3.1   Flexibility
   30.3.2   The Cyclic Dependency of Template Parameters
   30.3.3   The Rebind Mechanism
   30.3.4   Making Use of the Flexibility

30.1   Definition

A triangulation data structure is a data structure designed to handle the representation of a two dimensional triangulation. The concept of triangulation data structure was primarily designed to serve as a data structure for CGAL 2D triangulation classes which are triangulations embedded in a plane. However it appears that the concept is more general and can be used for any orientable triangulated surface without boundary, whatever may be the dimensionality of the space the triangulation is embedded in.

30.1.1   A Data Structure Based on Faces and Vertices

The representation of CGAL 2D triangulations is based on faces and vertices, Edges are only implicitly represented trough the adjacency relations between two faces.

The triangulation data structure can be seen as a container for faces and vertices maintaining incidence and adjacency relations among them.

Each triangular face gives access to its three incident vertices and to its three adjacent faces. Each vertex gives access to one of its incident faces and through that face to the circular list of its incident faces.

The three vertices of a face are indexed with 0, 1 and 2. The neighbors of a face are also indexed with 0,1,2 in such a way that the neighbor indexed by i is opposite to the vertex with the same index. See Figure 30.1, the functions ccw(i) and cw(i) shown on this figure compute respectively i+1 and i-1 modulo 3

Each edge has two implicit representations: the edge of a face f which is opposed to the vertex indexed i, can be represented as well as an edge of the neighbor(i) of f.

Figure 30.1:  Vertices and neighbors.


This kind or representation of simplicial complexes extends in any dimension. More precisely, in dimension d, the data structure will explicitly represents cells (i. e. faces of maximal dimension) and vertices (i. e. faces of dimension 0). All faces of dimension between 1 and d-1 will have an implicit representation. The 2D triangulation data structure can represent simplicial complexes of dimension 2, 1 or 0.

30.1.2   The Set of Faces and Vertices

The set of faces maintained by a 2D triangulation data structure is such that each edge is incident to two faces. In other words, the set of maintained faces is topologically equivalent to a two-dimensional triangulated sphere.

This rules extends to lower dimensional triangulation data structure arising in degenerate cases or when the triangulations have less than three vertices. A one dimensional triangulation structure maintains a set of vertices and edges which forms a ring topologically equivalent to a 1-sphere.

A zero dimensional triangulation data structure only includes two adjacent vertices that is topologically equivalent to a 0-sphere.

30.2   The Concept of Triangulation Data Structure

A model of TriangulationDataStructure_2 can be seen has a container for the faces and vertices of the triangulation. This class is also responsible for the combinatorial integrity of the triangulation. This means that the triangulation data structure maintains proper incidence and adjacency relations among the vertices and faces of a triangulation while combinatorial modifications of the triangulation are performed. The term combinatorial modification refers to operations which do not involve any knowledge about the geometric embedding of the triangulation. For example, the insertion of a new vertex in a given face, or in a given edge, the suppression of a vertex of degree three, the flip of two edge are examples of combinatorial operation performed at the data structure level.

The triangulation data structure is required to provide:

The triangulation data structure is responsible for the creation and removal of faces and vertices (memory management). It provides function that gives the number of faces, edges and vertices of the triangulation.

The triangulation data structure provides member functions to perform the following combinatorial transformation of the triangulation:

Figure 30.2:  Insertion of a new vertex, splitting a face


30.3   The Default Triangulation Data Structure

CGAL provides the class CGAL::Triangulation_data_structure_2<Vb,Fb> as a default triangulation data structure.

30.3.1   Flexibility

In order to provide flexibility, the default triangulation data structure is templated by two parameters which stands respectively for a vertex base class and a face base class. The concept TriangulationDSVertexBase_2 and TriangulationDSFaceBase_2 describe the requirements for the vertex and face classes of a triangulation data structure.

This design allows the user to plug in the triangulation data structure his own vertex or face classes tuned for his application.

30.3.2   The Cyclic Dependency of Template Parameters

Since adjacency and incidence relation are stored in vertices and faces, the vertex and face classes have to know the types of handles on faces and vertices provided by the triangulation data structure. Therefore, vertex and face classes need to be templated by the triangulation data structure. Because the triangulation data structure is itself templated by the vertex and face classes this induces a cyclic dependency. See figure 30.3.

Figure 30.3:  The cyclic dependency in triangulations software design.


30.3.3   The Rebind Mechanism

The solution proposed by CGAL to resolve this cyclic dependency is based on a rebind mechanism similar to the mechanism used in the standard allocator class std::allocator. The vertex and face classes plugged in the instantiation of a triangulation data structure are themselves instantiated with a fake data structure. The triangulation data structure will then rebind these classes, plugging itself at the place of the fake data structure, before using them to derive the vertex and face classes. The rebinding is performed through a nested template class Rebind_TDS in the vertex and face class, which provide the rebound class as a type called Other.

Here is how it works schematically. First, here is the rebinding taking place in the triangulation data structure.

template < class Vb, class Fb >
class Triangulation_data_structure
  typedef Triangulation_data_structure<Vb,Fb>    Self;

  // Rebind the vertex and face base to the actual TDS (Self).
  typedef typename Vb::template Rebind_TDS<Self>::Other  VertexBase;
  typedef typename Fb::template Rebind_TDS<Self>::Other  FaceBase;

  // ... further internal machinery leads to the final public types:
  typedef ...  Vertex;
  typedef ...  Face;
  typedef ...  Vertex_handle;
  typedef ...  Face_handle;

Then, here is the vertex class with its nested Rebind_TDS template class and its template parameter set by default to an an internal type faking a triangulation data structure.

template < class TDS = an internal type faking a triangulation data 
structure >
class Vertex_base
  template < class TDS2 >
  struct Rebind_TDS {
    typedef Vertex_base<TDS2>    Other;
Imagine an analog Face_base class. The triangulation data structure is then instantiate as follows :
typedef Triangulation_data_structure< Vertex_base<>, Face_base<> > TDS;

30.3.4   Making Use of the Flexibility

There is several possibilities to make use of the flexibility offered by the triangulation data structure.

See section 29.11 for examples of using the triangulation data structure flexibility.