augments a selection with edges of fg that are adjacent to an edge in selection.
This process is applied k times considering all edges added in the previous steps. Two edges are said to be adjacent if they are incident to the same face or vertex. Each new edge added in the selection is added exactly once in out.
Template Parameters
EdgeRange
a range of edge descriptors, model of Range. Its iterator type is InputIterator.
augments a selection with faces of fg that are adjacent to a face in selection.
This process is applied k times considering all faces added in the previous steps. Two faces are said to be adjacent if they share a vertex or an edge. Each new face added in the selection is added exactly once in out.
Template Parameters
FaceRange
a range of face descriptors, model of Range. Its iterator type is InputIterator.
template<class TriangleMesh , class FaceRange , class IsSelectedMap >
void CGAL::expand_face_selection_for_removal
(
const FaceRange &
faces_to_be_deleted,
TriangleMesh &
tm,
IsSelectedMap
is_selected
)
#include <CGAL/boost/graph/selection.h>
Expands a selection of faces so that their removal does not create any non manifold vertex.
For each vertex that is incident to a selected face, we turn around that vertex and check if there is exactly one set of consecutive selected faces. If not, additional faces around that vertex are selected to match this condition.
a range of boost::graph_traits<TriangleMesh>::face_descriptor, with an iterator type model of ForwardIterator.
IsSelectedMap
a model of ReadWritePropertyMap with boost::graph_traits<TriangleMesh>::face_descriptor as key and bool as value.
Parameters
tm
the triangle mesh.
faces_to_be_deleted
the range of selected faces.
is_selected
a property map containing the selected-or-not status of each face of tm. It must associate true to each face of faces_to_be_deleted and false to any other face of tm. It will be modified if the face selection must be expanded.
augments a selection with vertices of fg that are adjacent to a vertex in selection.
This process is applied k times considering all vertices added in the previous steps. Two vertices are said to be adjacent if they are part of the same face. Each new vertex added in the selection is added exactly once in out.
Template Parameters
VertexRange
a range of vertex descriptors, model of Range. Its iterator type is InputIterator.
diminishes a selection of edges from edges adjacent to a non-selected edge.
This process is applied k times considering all edges removed in the previous steps. Two edges are said to be adjacent if they are incident to the same face or vertex. Each edge removed from the selection is added exactly once in out.
Template Parameters
EdgeRange
a range of edge descriptors, model of Range. Its iterator type is InputIterator.
diminishes a selection of faces from faces adjacent to a non-selected face.
This process is applied k times considering all faces removed in the previous steps. Two faces are said to be adjacent if they share a vertex or an edge. Each face removed from the selection is added exactly once in out.
Template Parameters
FaceRange
a range of face descriptors, model of Range. Its iterator type is InputIterator.
diminishes a selection of vertices from vertices adjacent to a non-selected vertex.
This process is applied k times considering all vertices removed in the previous steps. Two vertices are said to be adjacent if they are part of the same face. Each vertex removed from the selection is added exactly once in out.
Template Parameters
VertexRange
a range of vertex descriptors, model of Range. Its iterator type is InputIterator.
regularizes a selection in order to minimize the length of the border of the selection.
The alpha expansion algorithm is used (see CGAL::alpha_expansion_graphcut()) using the length of the edge between two faces as the edge cost and the initial selected/unselected property of a face as the face cost.
If prevent_unselection is set to true, the cost of unselecting a face is set to infinity, which forces the regularization to only select new faces and ensures that the regularization keeps all selected faces.
a model of ReadWritePropertyMap with boost::graph_traits<TriangleMesh>::face_descriptor as key type and bool as value type
NamedParameters
a sequence of named parameters
Parameters
mesh
the mesh containing the selected faces.
is_selected
indicates if a face is part of the selection. It is updated by the function to accommodate faces added or removed from the selection.
weight
sets the tradeoff between data fidelity and regularity, ranging from 0 (no regularization at all, selection is left unaltered) to 1 (maximum regularization, usually selects or unselects everything so that the length of the border of the selection is 0)
np
an optional sequence of Named Parameters among the ones listed below
Optional Named Parameters
a property map associating points to the vertices of tm
Type: a class model of ReadWritePropertyMap with boost::graph_traits<TriangleMesh>::vertex_descriptor as key type and Point_3 as value type
Default: boost::get(CGAL::vertex_point, tm)
Extra: If this parameter is omitted, an internal property map for CGAL::vertex_point_t must be available in TriangleMesh.
a property map associating to each face of tm a unique index between 0 and num_faces(tm) - 1
Type: a class model of ReadablePropertyMap with boost::graph_traits<TriangleMesh>::face_descriptor as key type and std::size_t as value type
Default: an automatically indexed internal map
Boolean used to indicate if selection can be only extended or if it can also be shrinked.
Type: bool
Default: false
Extra: The geometric traits class must be compatible with the vertex point type.