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  2. Point in polygon - Wikipedia

    en.wikipedia.org/wiki/Point_in_polygon

    In computational geometry, the point-in-polygon (PIP) problem asks whether a given point in the plane lies inside, outside, or on the boundary of a polygon. It is a special case of point location problems and finds applications in areas that deal with processing geometrical data, such as computer graphics , computer vision , geographic ...

  3. Point location - Wikipedia

    en.wikipedia.org/wiki/Point_location

    The point location problem is a fundamental topic of computational geometry. It finds applications in areas that deal with processing geometrical data: computer graphics , geographic information systems (GIS), motion planning , and computer aided design (CAD).

  4. JTS Topology Suite - Wikipedia

    en.wikipedia.org/wiki/JTS_Topology_Suite

    JTS is developed under the Java JDK 1.4 platform. It is 100% pure Java. It will run on all more recent JDKs as well. [6] JTS has been ported to the .NET Framework as the Net Topology Suite. A JTS subset has been ported to C++, with entry points declared as C interfaces, as the GEOS library.

  5. Computational geometry - Wikipedia

    en.wikipedia.org/wiki/Computational_geometry

    Point in polygon: Decide whether a point is inside or outside a given polygon. In many applications this problem is treated as a single-shot one, i.e., belonging to the first class. For example, in many applications of computer graphics a common problem is to find which area on the screen is clicked by a pointer. However, in some applications ...

  6. Delaunay triangulation - Wikipedia

    en.wikipedia.org/wiki/Delaunay_triangulation

    The Euclidean minimum spanning tree of a set of points is a subset of the Delaunay triangulation of the same points, [22] and this can be exploited to compute it efficiently. For modelling terrain or other objects given a point cloud , the Delaunay triangulation gives a nice set of triangles to use as polygons in the model.

  7. CGAL - Wikipedia

    en.wikipedia.org/wiki/CGAL

    The Computational Geometry Algorithms Library (CGAL) is an open source software library of computational geometry algorithms. While primarily written in C++, Scilab bindings and bindings generated with SWIG (supporting Python and Java for now) are also available. [2] [3] The software is available under dual licensing scheme.

  8. Boolean operations on polygons - Wikipedia

    en.wikipedia.org/wiki/Boolean_operations_on_polygons

    Matthias Kramm's gfxpoly, a free C library for 2D polygons (BSD license). Klaas Holwerda's Boolean, a C++ library for 2D polygons. David Kennison's Polypack, a FORTRAN library based on the Vatti algorithm. Klamer Schutte's Clippoly, a polygon clipper written in C++. Michael Leonov's poly_Boolean, a C++ library, which extends the Schutte algorithm.

  9. Marching squares - Wikipedia

    en.wikipedia.org/wiki/Marching_squares

    Shared append-only geometry output stream. A naive implementation of Marching Squares that processes every cell independently will perform every linear interpolation twice (isoline) or four times (isoband). Similarly, the output will contain 2 copies of the 2D vertices for disjoint lines (isoline) or 4 copies for polygons (isobands).