Package Overview


I  General Introduction
II  Geometry Kernels
III  Arithmetic and Algebra
IV  Convex Hull Algorithms
V  Polygons and Polyhedra
VI  Polygon and Polyhedron Operations
VII  Arrangements
VIII  Triangulations and Delaunay Triangulations
IX  Voronoi Diagrams
X  Mesh Generation
XI  Geometry Processing
XII  Search Structures
XIII  Shape Analysis, Fitting, and Distances
XIV  Interpolation
XV  Kinetic Data Structures
XVI  Support Library


II   Geometry Kernels

 

2D and 3D Linear Geometry Kernel

Hervé Brönnimann, Andreas Fabri, Geert-Jan Giezeman, Susan Hert, Michael Hoffmann, Lutz Kettner, Sylvain Pion, and Stefan Schirra

2D and 3D Linear Geometry Kernel Illustration This package contains kernels each containing objects of constant size, such as point, vector, direction, line, ray, segment, circle as well as predicates and constructions for these objects. The kernels mainly differ in the way they handle robustness issues.

Introduced in: CGAL 0.9
License: LGPL
BibTeX Key:cgal:bfghhkps-lgk23-07
Demo: Robustness
User Manual   Reference Manual
 

dD Geometry Kernel

Michael Seel

  The dD Kernel contains objects of constant size, such as point, vector, direction, line, ray, segment, circle in d dimensional Euclidean space, as well as predicates and constructions for these objects.

Introduced in: CGAL 1.1
License: LGPL
BibTeX Key:cgal:s-gkd-07
User Manual   Reference Manual
 

2D Circular Geometry Kernel

Sylvain Pion and Monique Teillaud

2D Circular Geometry Kernel  Illustration This package is an extension of the linear CGAL kernel. It offers functionalities on circles, circular arcs and line segments in the plane.

Introduced in: CGAL 3.2
License: QPL
BibTeX Key:cgal:pt-cgk2-07
Demo: Arrangement of Circular Arcs
User Manual   Reference Manual


III   Arithmetic and Algebra

 

Algebraic Foundations

Michael Hemmer

  This package defines what algebra means for CGAL, in terms of concepts, classes and functions. The main features are: (i) explicit concepts for interoperability of types (ii) separation between algebraic types (not necessarily embeddable into the reals), and number types (embeddable into the reals).

Introduced in: CGAL 3.3
License: LGPL
BibTeX Key:cgal:h-ac-07
User Manual   Reference Manual
 

Number Types

Michael Hemmer, Susan Hert, Lutz Kettner, Sylvain Pion, and Stefan Schirra

  This package provides number type concepts as well as number type classes and wrapper classes for third party number type libraries.

Introduced in: CGAL 1.0
License: LGPL
BibTeX Key:cgal:hhkps-nt-07
User Manual   Reference Manual


IV   Convex Hull Algorithms

 

2D Convex Hulls and Extreme Points

Susan Hert and Stefan Schirra

2D Convex Hulls and Extreme Points  Illustration This package provides functions for computing convex hulls in two dimensions as well as functions for checking if sets of points are strongly convex are not. There are also a number of functions described for computing particular extreme points and subsequences of hull points, such as the lower and upper hull of a set of points.

Introduced in: CGAL 1.0
License: QPL
BibTeX Key:cgal:hs-chep2-07
Demo: 2D Convex Hull
User Manual   Reference Manual
 

3D Convex Hulls

Susan Hert and Stefan Schirra

3D Convex Hulls Illustration This package provides functions for computing convex hulls in three dimensions as well as functions for checking if sets of points are strongly convex or not. One can compute the convex hull of a set of points in three dimensions in one of three ways: using a static algorithm, using an incremental construction algorithm, or using a triangulation to get a fully dynamic computation.

Introduced in: CGAL 1.1
Depends on: All algorithms produce as output a 3D Polyhedron. The dynamic algorithms depend on 3D Triangulations
License: QPL
BibTeX Key:cgal:hs-ch3-07
User Manual   Reference Manual
 

dD Convex Hulls and Delaunay Triangulations

Susan Hert and Michael Seel

  This package provides functions for computing convex hulls and Delaunay triangulations in d-dimensional Euclidean space.

Introduced in: CGAL 2.3
License: LGPL
BibTeX Key:cgal:hs-chdt3-07
User Manual   Reference Manual


V   Polygons and Polyhedra

 

2D Polygon

Geert-Jan Giezeman and Wieger Wesselink

2D Polygon Illustration This package provides a polygon class and operations on sequences of points, like the simplicity test.

Introduced in: CGAL 0.9
License: LGPL
BibTeX Key:cgal:gw-p2-07
Demo: 2D Polygon
User Manual   Reference Manual
 

2D Polygon Partitioning

Susan Hert

2D Polygon Partitioning  Illustration This package provides functions for partitioning polygons in monotone or convex polygons. The algorithms can produce results with the minimal number of polygons, as well as approximations which have no more than four times the optimal number of convex pieces but they differ in their runtime complexities.

Introduced in: CGAL 2.3
License: QPL
BibTeX Key:cgal:h-pp2-07
Demo: 2D Polygon Partition
User Manual   Reference Manual
 

3D Polyhedral Surface

Lutz Kettner

3D Polyhedral Surface  Illustration Polyhedral surfaces in three dimensions are composed of vertices, edges, facets and an incidence relationship on them. The organization beneath is a halfedge data structure, which restricts the class of representable surfaces to orientable 2-manifolds - with and without boundary. If the surface is closed we call it a polyhedron.

Introduced in: CGAL 1.0
Depends on: Halfedge Data Structure
License: QPL
BibTeX Key:cgal:k-ps-07
User Manual   Reference Manual
 

Halfedge Data Structures

Lutz Kettner

Halfedge Data Structures   Illustration A halfedge data structure is an edge-centered data structure capable of maintaining incidence information of vertices, edges and faces, for example for planar maps, polyhedra, or other orientable, two-dimensional surfaces embedded in arbitrary dimension. Each edge is decomposed into two halfedges with opposite orientations. One incident face and one incident vertex are stored in each halfedge. For each face and each vertex, one incident halfedge is stored. Reduced variants of the halfedge data structure can omit some of these information, for example the halfedge pointers in faces or the storage of faces at all.

Introduced in: CGAL 1.0
License: LGPL
BibTeX Key:cgal:k-hds-07
User Manual   Reference Manual


VI   Polygon and Polyhedron Operations

 

2D Regularized Boolean Set-Operations

Efi Fogel, Ron Wein, Baruch Zukerman, and Dan Halperin

2D Regularized Boolean Set-Operations Illustration This package consists of the implementation of Boolean set-operations on point sets bounded by weakly x-monotone curves in 2-dimensional Euclidean space. In particular, it contains the implementation of regularized Boolean set-operations, intersection predicates, and point containment predicates.

Introduced in: CGAL 3.2
Depends on: 2D Arrangements
License: QPL
BibTeX Key:cgal:fwzh-rbso2-07
Demo: Boolean operations
User Manual   Reference Manual
 

2D Minkowski Sums

Ron Wein

2D Minkowski Sums Illustration This package consists of functions that compute the Minkowski sum of two simple straight-edge polygons in the plane. It also contains functions for computing the Minkowski sum of a polygon and a disc, an operation known as offsetting or dilating a polygon. The package can compute the exact representation of the offset polygon, or provide a guaranteed approximation of the offset.

Introduced in: CGAL 3.3
Depends on: 2D Arrangements
License: QPL
BibTeX Key:cgal:w-rms2-07
User Manual   Reference Manual
 

2D Boolean Operations on Nef Polygons

Michael Seel

2D Boolean Operations on Nef Polygons  Illustration A Nef polygon is any set that can be obtained from a finite set of open halfspaces by set complement and set intersection operations. Due to the fact that all other binary set operations like union, difference and symmetric difference can be reduced to intersection and complement calculations, Nef polygons are also closed under those operations. Apart from the set complement operation there are more topological unary set operations that are closed in the domain of Nef polygons interior, boundary, and closure.

Introduced in: CGAL 2.3
License: QPL
BibTeX Key:cgal:s-bonp2-07
Demo: 2D Nef Polygons
User Manual   Reference Manual
 

2D Boolean Operations on Nef Polygons Embedded on the Sphere

Peter Hachenberger, Lutz Kettner, and Michael Seel

2D Boolean Operations on Nef Polygons Embedded on the Sphere  Illustration This package offers the equivalent to 2D Nef Polygons in the plane. Here halfplanes correspond to half spheres delimited by great circles.

Introduced in: CGAL 3.1
Depends on: 2D Nef Polygon
BibTeX Key:cgal:hk-bonpes2-07
User Manual   Reference Manual
 

3D Boolean Operations on Nef Polyhedra

Peter Hachenberger, Lutz Kettner, and Michael Seel

3D Boolean Operations on  Nef Polyhedra Illustration 3D Nef polyhedra, are a boundary representation for cell-complexes bounded by halfspaces that supports Boolean operations and topological operations in full generality including unbounded cells, mixed dimensional cells (e.g., isolated vertices and antennas). Nef polyhedra distinguish between open and closed sets and can represent non-manifold geometry.

Introduced in: CGAL 3.1
Depends on: 2D Nef Polygons, Nef Polygons on the Sphere
License: QPL
BibTeX Key:cgal:hk-bonp3-07
User Manual   Reference Manual
 

2D Straight Skeleton and Polygon Offsetting

Fernando Cacciola

2D Straight Skeleton and Polygon Offsetting  Illustration This package implements an algorithm to construct a halfedge data structure representing the straight skeleton in the interior of 2D polygons with holes and an algorithm to construct inward offset polygons at any offset distance given a straight skeleton.

Introduced in: CGAL 3.2
Depends on: Halfedge Data Structure
License: QPL
BibTeX Key:cgal:c-sspo2-07
Demo: 2D Straight Skeleton
User Manual   Reference Manual


VII   Arrangements

 

2D Arrangement

Ron Wein, Efi Fogel, Baruch Zukerman, and Dan Halperin

2D Arrangement Illustration This package can be used to construct, maintain, alter, and display arrangements in the plane. Once an arrangement is constructed, the package can be used to obtain results of various queries on the arrangement, such as point location. The package also includes generic implementations of two algorithmic frameworks, that are, computing the zone of an arrangement, and line-sweeping the plane, the arrangements is embedded on. These frameworks are used in turn in the implementations of other operations on arrangements. Computing the overlay of two arrangements, for example, is based on the sweep-line framework.

Arrangements and arrangement components can also be extended to store additional data. An important extension stores the construction history of the arrangement, such that it is possible to obtain the originating curve of an arrangement subcurve.

Introduced in: CGAL 2.1
License: QPL
BibTeX Key:cgal:wfzh-a2-07
User Manual   Reference Manual
 

2D Intersection of Curves

Baruch Zukerman and Ron Wein

2D Intersection of Curves Illustration This package provides three free functions implemented based on the sweep-line paradigm: given a collection of input curves, compute all intersection points, compute the set of subcurves that are pairwise interior-disjoint induced by them, and check whether there is at least one pair of curves among them that intersect in their interior.

Introduced in: CGAL 2.4
Depends on: 2D Arrangements
License: QPL
BibTeX Key:cgal:wfz-ic2-07
User Manual   Reference Manual
 

2D Snap Rounding

Eli Packer

2D Snap Rounding  Illustration Snap Rounding is a well known method for converting arbitrary-precision arrangements of segments into a fixed-precision representation. In the study of robust geometric computing, it can be classified as a finite precision approximation technique. Iterated Snap Rounding is a modification of Snap Rounding in which each vertex is at least half-the-width-of-a-pixel away from any non-incident edge. This package supports both methods.

Introduced in: CGAL 3.1
Depends on: Arrangements
License: QPL
BibTeX Key:cgal:p-sr2-07
Demo: 2D Snap Rounding
User Manual   Reference Manual
 

2D Envelopes

Ron Wein

2D Envelopes Illustration This package consits of functions that computes the lower (or upper) envelope of a set of arbitrary curves in 2D. The output is represented as an envelope diagram, namely a subdivision of the x-axis into intervals, such that the identity of the curves that induce the envelope on each interval is unique.

Introduced in: CGAL 3.3
Depends on: 2D Arrangements
License: QPL
BibTeX Key:cgal:w-e2-07
User Manual   Reference Manual
 

3D Envelopes

Michal Meyerovitch, Ron Wein and Baruch Zukerman

3D Envelopes Illustration This package consits of functions that compute the lower (or upper) envelope of a set of arbitrary surfaces in 3D. The output is represented as an 2D envelope diagram, namely a planar subdivision such that the identity of the surfaces that induce the envelope over each diagram cell is unique.

Introduced in: CGAL 3.3
Depends on: 2D Arrangements
License: QPL
BibTeX Key:cgal:mwz-e3-07
Demo: 3D Envelopes
User Manual   Reference Manual


VIII   Triangulations and Delaunay Triangulations

 

2D Triangulation

Mariette Yvinec

2D Triangulation  Illustration This package allows to build and handle various triangulations for point sets two dimensions. Any CGAL triangulation covers the convex hull of its vertices. Triangulations are build incrementally and can be modified by insertion or removal of vertices. They offer point location facilities.

The package provides plain triangulation (whose faces depend on the insertion order of the vertices) and Delaunay triangulations. Regular triangulations are also provided for sets of weighted points. Delaunay and regular triangulations offer nearest neighbor queries and primitives to build the dual Voronoi and power diagrams.

Finally, constrained and Delaunay constrained triangulations allows to force some constrained segments to appear as edges of the triangulation. Several versions of constrained and Delaunay constrained triangulations are provided: some of them handle intersections between input constraints segment while others do not.

Introduced in: CGAL 0.9
Depends on: 2D Triangulation Data Structure
License: QPL
BibTeX Key:cgal:y-t2-07
Demo: Delaunay Triangulation
Demo: Regular Triangulation
Demo: Constrained Delaunay Triangulation
User Manual   Reference Manual
 

2D Triangulation Data Structure

Sylvain Pion and Mariette Yvinec

  This package provides a data structure to store a two-dimensional triangulation that has the topology of a two-dimensional sphere. The package acts as a container for the vertices and faces of the triangulation and provides basic combinatorial operation on the triangulation.

Introduced in: CGAL 2.2
License: QPL
BibTeX Key:cgal:py-tds2-07
User Manual   Reference Manual
 

3D Triangulations

Sylvain Pion and Monique Teillaud

3D Triangulations Illustration This package allows to build and handle triangulations for point sets in three dimensions. Any CGAL triangulation covers the convex hull of its vertices. Triangulations are build incrementally and can be modified by insertion or removal of vertices. They offer point location facilities.

The package provides plain triangulation (whose faces depends on the insertion order of the vertices) and Delaunay triangulations. Regular triangulations are also provided for sets of weighted points. Delaunay and regular triangulations offer nearest neighbor queries and primitives to build the dual Voronoi and power diagrams.

Introduced in: CGAL 2.1
License: QPL
BibTeX Key:cgal:pt-t3-07
User Manual   Reference Manual
 

3D Triangulation Data Structure

Sylvain Pion and Monique Teillaud

  This package provides a data structure to store a three-dimensional triangulation that has the topology of a three-dimensional sphere. The package acts as a container for the vertices and cells of the triangulation and provides basic combinatorial operations on the triangulation.

Introduced in: CGAL 2.1
License: QPL
BibTeX Key:cgal:pt-tds3-07
User Manual   Reference Manual
 

2D Alpha Shapes

Tran Kai Frank Da

2D Alpha Shapes Illustration This package offers a data structure encoding the whole family of alpha-complexes related to a given 2D Delaunay or regular triangulation. In particular, the data structure allows to retrieve the alpha-complex for any alpha value, the whole spectrum of critical alpha values and a filtration on the triangulation faces (this filtration is based on the first alpha value for which each face is included on the alpha-complex).

Introduced in: CGAL 2.1
Depends on: 2D Triangulation
License: QPL
BibTeX Key:cgal:d-as2-07
Demo: 2D Alpha Shapes
User Manual   Reference Manual
 

3D Alpha Shapes

Tran Kai Frank Da and Mariette Yvinec

  This package offers a data structure encoding the whole family of alpha-complexes related to a given 3D Delaunay or regular triangulation. In particular, the data structure allows to retrieve the alpha-complex for any alpha value, the whole spectrum of critical alpha values and a filtration on the triangulation faces (this filtration is based on the first alpha value for which each face is included on the alpha-complex).

Introduced in: CGAL 2.3
Depends on: 2D Triangulation
License: QPL
BibTeX Key:cgal:dy-as3-07
User Manual   Reference Manual


IX   Voronoi Diagrams

 

2D Segment Delaunay Graphs

Menelaos Karavelas

2D Segment Delaunay Graphs  Illustration An algorithm for computing the dual of a Voronoi diagram of a set of segments under the Euclidean metric. It is a generalization of the standard Voronoi diagram for points. The algorithms provided are dynamic.

Introduced in: CGAL 3.1
Depends on: 2D Triangulation Data Structure
License: QPL
BibTeX Key:cgal:k-sdg2-07
Demo: 2D Segment Voronoi Diagram
User Manual   Reference Manual
 

2D Apollonius Graphs (Delaunay Graphs of Disks)

Menelaos Karavelas and Mariette Yvinec

2D Apollonius Graphs (Delaunay Graphs of Disks) Illustration Algorithms for computing the Apollonius graph in two dimensions. The Apollonius graph is the dual of the Apollonius diagram, also known as the additively weighted Voronoi diagram. The latter can be thought of as the Voronoi diagram of a set of disks under the Euclidean metric, and it is a generalization of the standard Voronoi diagram for points. The algorithms provided are dynamic.

Introduced in: CGAL 3.0
Depends on: 2D Triangulation Data Structure
License: QPL
BibTeX Key:cgal:ky-ag2-07
Demo: 2D Apollonius Graph
User Manual   Reference Manual
 

2D Voronoi Diagram Adaptor

Menelaos Karavelas

2D Voronoi Diagram Adaptor  Illustration The 2D Voronoi diagram adaptor package provides an adaptor that adapts a 2-dimensional triangulated Delaunay graph to the corresponding Voronoi diagram, represented as a doubly connected edge list (DCEL) data structure. The adaptor has the ability to automatically eliminate, in a consistent manner, degenerate features of the Voronoi diagram, that are artifacts of the requirement that Delaunay graphs should be triangulated even in degenerate configurations. Depending on the type of operations that the underlying Delaunay graph supports, the adaptor allows for the incremental or dynamic construction of Voronoi diagrams and can support point location queries.

Introduced in: CGAL 3.2
License: QPL
BibTeX Key:cgal:k-vda2-07
User Manual   Reference Manual


X   Mesh Generation

 

2D Conforming Triangulations and Meshes

Laurent Rineau

2D Conforming Triangulations and Meshes Illustration This package implements a Delaunay refinement algorithm to construct conforming triangulations and 2D meshes.

Conforming Delaunay triangulations are obtained from constrained Delaunay triangulations by refining constrained edges until they are Delaunay edges. Conforming Gabriel triangulations are obtained by further refining constrained edges until they become Gabriel edges.

The package provides also a 2D mesh generator that refines triangles and constrained edges until user defined size and shape criteria on triangles are satisfied. The package can handle intersecting input constraints and set no restriction on the angle formed by two constraints sharing an endpoint.

Introduced in: CGAL 3.1
Depends on: 2D Delaunay Triangulation
License: QPL
BibTeX Key:cgal:r-ctm2-07
Demo: 2D Mesh Generator
User Manual   Reference Manual
 

3D Surface Mesh Generation

Laurent Rineau and Mariette Yvinec

3D Surface Mesh Generation Illustration This package provides functions to generate surface meshes that interpolate smooth surfaces. The meshing algorithm is based on Delaunay refinement and provides some guarantees on the resulting mesh: the user is able to control the size and shape of the mesh elements and the accuracy of the surface approximation. There is no restriction on the topology and number of components of input surfaces. The surface mesh generator may also be used for non smooth surfaces but without guarantee.

Currently, implementations are provided for implicit surfaces described as the zero level set of some function and surfaces described as a gray level set in a three-dimensional image.

Introduced in: CGAL 3.2
License: QPL
BibTeX Key:cgal:ry-smg-07
User Manual   Reference Manual
 

3D Skin Surface Meshing

Nico Kruithof

3D Skin Surface Meshing  Illustration This package allows to build a triangular mesh of a skin surface. Skin surfaces are used for modeling large molecules in biological computing. The surface is defined by a set of balls, representing the atoms of the molecule, and a shrink factor that determines the size of the smooth patches gluing the balls together.

The construction of a triangular mesh of a smooth skin surface is often necessary for further analysis and for fast visualization. This package provides functions to construct a triangular mesh approximating the skin surface from a set of balls and a shrink factor. It also contains code to subdivide the mesh efficiently.

Introduced in: CGAL 3.3
Depends on: 3D Triangulation and 3D Polyhedral Surface
License: QPL
BibTeX Key:cgal:k-ssm3-07
User Manual   Reference Manual


XI   Geometry Processing

 

3D Surface Subdivision Methods

Le-Jeng Andy Shiue

3D Surface Subdivision Methods Illustration Subdivision methods recursively refine a control mesh and generate points approximating the limit surface. This package consists of four popular subdivision methods and their refinement hosts. Supported subdivision methods include Catmull-Clark, Loop, Doo-Sabin and sqrt(3) subdivisions. Their respective refinement hosts are PQQ, PTQ, DQQ and sqrt(3) refinements. Variations of those methods can be easily extended by substituting the geometry computation of the refinement host.

Introduced in: CGAL 3.2
License: LGPL
BibTeX Key:cgal:s-ssm2-07
User Manual   Reference Manual
 

Triangulated Surface Mesh Simplification

Fernando Cacciola

Triangulated Surface Mesh Simplification Illustration This package provides an algorithm to simplify a triangulated surface mesh by edge collapsing. It is an implementation of the Turk/Lindstrom memoryless mesh simplification algorithm.

Introduced in: CGAL 3.3
Depends on: Polyhedron
License: QPL
BibTeX Key:cgal:c-tsms-07
User Manual   Reference Manual
 

Planar Parameterization of Triangulated Surface Meshes

Laurent Saboret, Pierre Alliez and Bruno Lévy

Planar Parameterization of Triangulated Surface Meshes Illustration Parameterizing a surface amounts to finding a one-to-one mapping from a suitable domain to the surface. In this package, we focus on triangulated surfaces that are homeomorphic to a disk and on piecewise linear mappings into a planar domain. This package implements some of the state-of-the-art surface mesh parameterization methods, such as least squares conformal maps, discrete conformal map, discrete authalic parameterization, Floater mean value coordinates or Tutte barycentric mapping.

Introduced in: CGAL 3.2
Depends on: Solvers as OpenNL or Taucs.
License: QPL
BibTeX Key:cgal:sal-pptsm2-07
User Manual   Reference Manual
 

2D Placement of Streamlines

Abdelkrim Mebarki

2D Placement of Streamlines Illustration Visualizing vector fields is important for many application domains. A good way to do it is to generate streamlines that describe the flow behavior. This package implements the "Farthest Point Seeding" algorithm for placing streamlines in 2D vector fields. It generates a list of streamlines corresponding to an input flow using a specified separating distance. The algorithm uses a Delaunay triangulation to model objects and address different queries, and relies on choosing the centers of the biggest empty circles to start the integration of the streamlines.

Introduced in: CGAL 3.2
Depends on: 2D Delaunay triangulation
License: QPL
BibTeX Key:cgal:m-ps-07
Demo: 2D Stream Lines
User Manual   Reference Manual
 

Approximation of Ridges and Umbilics on Triangulated Surface Meshes

Marc Pouget and Frédéric Cazals

Approximation of Ridges and Umbilics on
    Triangulated Surface Meshes  Illustration Global features related to curvature extrema encode important informations used in segmentation, registration, matching and surface analysis. Given pointwise estimations of local differential quantities, this package allows the approximation of differential features on a triangulated surface mesh. Such curvature related features are curves: ridges or crests, and points: umbilics.

Introduced in: CGAL 3.3
Depends on: Solvers as Lapack and Blas.
License: QPL
BibTeX Key:pc-arutsm-07
User Manual   Reference Manual
 

Estimation of Local Differential Properties

Marc Pouget and Frédéric Cazals

Estimation of Local Differential Properties  Illustration For a surface discretized as a point cloud or a mesh, it is desirable to estimate pointwise differential quantities. More precisely, first order properties correspond to the normal or the tangent plane; second order properties provide the principal curvatures and directions, third order properties provide the directional derivatives of the principal curvatures along the curvature lines, etc. This package allows the estimation of local differential quantities of a surface from a point sample.

Introduced in: CGAL 3.3
Depends on: Solvers as Lapack and Blas.
License: QPL
BibTeX Key:cgal:pc-eldp-07
User Manual   Reference Manual


XII   Search Structures

 

2D Range and Neighbor Search

Matthias Bäsken

2D Range and Neighbor Search Illustration This package supports circular, triangular, and isorectangular range search queries as well as (k) nearest neighbor search queries on 2D point sets. In contrast to the spatial searching package, this package uses a Delaunay triangulation as underlying data structure.

Introduced in: CGAL 2.1
Depends on: 2D Delaunay triangulation
License: QPL
BibTeX Key:cgal:b-ss2-07
User Manual   Reference Manual
 

Interval Skip List

Andreas Fabri

Interval Skip List Illustration An interval skip list is a data structure for finding all intervals that contain a point, and for stabbing queries, that is for answering the question whether a given point is contained in an interval or not. For a triangulated terrain, this allows to quickly identify the triangles which intersect an iso line.

Introduced in: CGAL 3.0
License: QPL
BibTeX Key:cgal:f-isl-07
User Manual   Reference Manual
 

dD Spatial Searching

Hans Tangelder and Andreas Fabri

dD Spatial Searching Illustration

This package implements exact and approximate distance browsing by providing exact and approximate algorithms for range searching, k-nearest and k-furthest neighbor searching, as well as incremental nearest and incremental furthest neighbor searching, where the query items are points in dD Euclidean space.

Introduced in: CGAL 3.0
License: QPL
BibTeX Key:cgal:tf-ssd-07
Demo: 2D Spatial Searching
User Manual   Reference Manual
 

dD Range and Segment Trees

Gabriele Neyer

  Range and segment trees allow to perform window queries on point sets, and to enumerate all ranges enclosing a query point. The provided data structures are static and they are optimized for fast queries.

Introduced in: CGAL 0.9
License: QPL
BibTeX Key:cgal:n-rstd-07
User Manual   Reference Manual
 

Intersecting Sequences of dD Iso-oriented Boxes

Lutz Kettner, Andreas Meyer, and Afra Zomorodian

Intersecting Sequences of dD Iso-oriented Boxes Illustration An efficient algorithm for finding all intersecting pairs for large numbers of iso-oriented boxes, in order to apply a user defined callback on them. Typically these boxes will be bounding boxes of more complicated geometries. The algorithm is useful for (self-) intersection tests of surfaces etc.

Introduced in: CGAL 3.1
License: QPL
BibTeX Key:cgal:kmz-isiobd-07
User Manual   Reference Manual


XIII   Shape Analysis, Fitting, and Distances

 

Bounding Volumes

Kaspar Fischer, Bernd Gärtner, Thomas Herrmann, Michael Hoffmann, and Sven Schönherr

Bounding Volumes  Illustration This package provides algorithms for computing optimal bounding volumes of point sets. In d-dimensional space, the smallest enclosing sphere, ellipsoid (approximate), and annulus can be computed. In 3-dimensional space, the smallest enclosing strip is available as well, and in 2-dimensional space, there are algorithms for a number of additional volumes (rectangles, parallelograms, k=2,3,4 axis-aligned rectangles). The smallest enclosing sphere algorithm can also be applied to a set of d-dimensional spheres.

Introduced in: CGAL 1.1
License: QPL
BibTeX Key:cgal:fghhs-bv-07
Demo: Smallest Enclosing Circle
Demo: Smallest Enclosing Ellipse
Demo: Smallest Enclosing Quadrilateral
Demo: 2D Rectangular p-center
User Manual   Reference Manual
 

Inscribed Areas

Michael Hoffmann and Eli Packer

Inscribed Areas  Illustration This package provides algorithms for computing inscribed areas. The algorithms for computing inscribed areas are: the largest inscribed k-gon (area or perimeter) of a convex point set and the largest inscribed iso-rectangle.

Introduced in: CGAL 1.1
License: QPL
BibTeX Key:cgal:hp-ia-07
Demo: 2D Inscribed k-gon
Demo: 2D Largest Empty Rectangle
User Manual   Reference Manual
 

Optimal Distances

Kaspar Fischer, Bernd Gärtner, Thomas Herrmann, Michael Hoffmann, and Sven Schönherr

Optimal Distances  Illustration This package provides algorithms for computing the distance between the convex hulls of two point sets in d-dimensional space, without explicitely constructing the convex hulls. It further provides an algorithm to compute the width of a point set, and the furthest point for each vertex of a convex polygon.

Introduced in: CGAL 1.1
License: QPL
BibTeX Key:cgal:fghhs-od-07
User Manual   Reference Manual
 

Principal Component Analysis

Pierre Alliez and Sylvain Pion

Principal Component Analysis Illustration This package provides functions to compute global information on the shape of a set of 2D or 3D objects such as points. It provides the computation of axis-aligned bounding boxes, centroids of point sets, barycenters of weighted point sets, as well as linear least squares fitting for point sets in 2D, and point sets as well as triangle sets in 3D.

Introduced in: CGAL 3.2
License: QPL
BibTeX Key:cgal:ap-pcad-07
Demo: 2D Least Squares Fitting
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XIV   Interpolation

 

2D and Surface Function Interpolation

Julia Flötotto

  This package implements different methods for scattered data interpolation: Given measures of a function on a set of discrete data points, the task is to interpolate this function on an arbitrary query point. The package further offers functions for natural neighbor interpolation.

Introduced in: CGAL 3.1
License: QPL
BibTeX Key:cgal:f-i-07
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XV   Kinetic Data Structures

 

Kinetic Data Structures

Daniel Russel

Kinetic Data Structures Illustration Kinetic data structures allow combinatorial structures to be maintained as the primitives move. The package provides implementations of kinetic data structures for Delaunay triangulations in two and three dimensions, sorting of points in one dimension and regular triangulations in three dimensions. The package supports exact or inexact operations on primitives which move along polynomial trajectories.

Introduced in: CGAL 3.2
Depends on: KDS Framework. Two dimensional visualization depends on Qt, three dimensional visualization depends on Coin.
License: LGPL
BibTeX Key:cgal:r-kds-07
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Kinetic Framework

Daniel Russel

  Kinetic data structures allow combinatorial geometric structures to be maintained as the primitives move. The package provides a framework to ease implementing and debugging kinetic data structures. The package supports exact or inexact operations on primitives which move along polynomial trajectories.

Introduced in: CGAL 3.2
Depends on: Two dimensional visualization depends on Qt, three dimensional visualization depends on Coin.
License: LGPL
BibTeX Key:cgal:s-kdsf-07
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XVI   Support Library

 

CGAL and the Boost Graph Library

Andreas Fabri, Fernando Cacciola, and Ron Wein

CGAL and the Boost Graph Library Illustration This package provides a framework for interfacing CGAL data structures with the algorithms of the BGL. It allows to run graph algorithms directly on CGAL data structures which are model of the BGL graph concepts, for example the shortest path algorithm on a Delaunay triangulation in order to compute the Euclidean minimum spanning tree. Furthermore, it introduces a new graph concept, the HalfedgeEdgeGraph. This concept describes graphs which are embedded on surfaces.

Introduced in: CGAL 3.3
License: LGPL
BibTeX Key:cgal:cfw-cbgl-07
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Spatial Sorting

Christophe Delage

Spatial Sorting  Illustration This package provides functions for sorting geometric objects in two and three dimensions, in order to improve efficiency of incremental geometric algorithms.

Introduced in: CGAL 3.3
License: LGPL
BibTeX Key:cgal:d-ss-07
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Monotone and Sorted Matrix Search

Michael Hoffmann

  This package provides a matrix search framework, which is the underlying technique for the computation of all furthest neighbors for the vertices of a convex polygon, maximal k-gons inscribed into a planar point set, and computing rectangular p-centers..

Introduced in: CGAL 1.1
License: QPL
BibTeX Key:cgal:h-msms-07
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Linear and Quadratic Programming Solver

Kaspar Fischer, Bernd Gärtner, Sven Schönherr, and Frans Wessendorp

Linear and Quadratic Programming Solver
 Illustration This package contains algorithms for minimizing linear and convex quadratic functions over polyhedral domains, described by linear equations and inequalities. The algorithms are exact, i.e. the solution is computed in terms of multiprecision rational numbers.

The resulting solution is certified: along with the claims that the problem under consideration has an optimal solution, is infeasible, or is unbounded, the algorithms also deliver proofs for these facts. These proofs can easily (and independently from the algorithms) be checked for correctness.

The solution algorithms are based on a generalization of the simplex method to quadratic objective functions.

Introduced in: CGAL 3.3
License: QPL
BibTeX Key:cgal:fgsw-lqps-07
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