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  2. Iterative closest point - Wikipedia

    en.wikipedia.org/wiki/Iterative_Closest_Point

    PCL (Point Cloud Library) is an open-source framework for n-dimensional point clouds and 3D geometry processing. It includes several variants of the ICP algorithm. [9] Open source C++ implementations of the ICP algorithm are available in VTK, ITK and Open3D libraries.

  3. Geometric primitive - Wikipedia

    en.wikipedia.org/wiki/Geometric_primitive

    A 3D torus prim created in Second Life, an example of a parametric shape. A Parametric shape is a standardized two-dimensional or three-dimensional shape defined by a minimal set of parameters, such as an ellipse defined by two points at its foci, or three points at its center, vertex, and co-vertex.

  4. Solid modeling - Wikipedia

    en.wikipedia.org/wiki/Solid_modeling

    Solid modeling (or solid modelling) is a consistent set of principles for mathematical and computer modeling of three-dimensional shapes . Solid modeling is distinguished within the broader related areas of geometric modeling and computer graphics , such as 3D modeling , by its emphasis on physical fidelity. [ 1 ]

  5. Convex hull algorithms - Wikipedia

    en.wikipedia.org/wiki/Convex_hull_algorithms

    Computing the convex hull means that a non-ambiguous and efficient representation of the required convex shape is constructed. The complexity of the corresponding algorithms is usually estimated in terms of n , the number of input points, and sometimes also in terms of h , the number of points on the convex hull.

  6. List of mathematical shapes - Wikipedia

    en.wikipedia.org/wiki/List_of_mathematical_shapes

    Tessellations of euclidean and hyperbolic space may also be considered regular polytopes. Note that an 'n'-dimensional polytope actually tessellates a space of one dimension less. For example, the (three-dimensional) platonic solids tessellate the 'two'-dimensional 'surface' of the sphere.

  7. Geometric modeling - Wikipedia

    en.wikipedia.org/wiki/Geometric_modeling

    Geometric modeling is a branch of applied mathematics and computational geometry that studies methods and algorithms for the mathematical description of shapes.The shapes studied in geometric modeling are mostly two- or three-dimensional (solid figures), although many of its tools and principles can be applied to sets of any finite dimension.

  8. Constructive solid geometry - Wikipedia

    en.wikipedia.org/wiki/Constructive_solid_geometry

    A convenient property of CSG shapes is that it is easy to classify arbitrary points as being either inside or outside the shape created by CSG. The point is simply classified against all the underlying primitives and the resulting boolean expression is evaluated. [6] This is a desirable quality for some applications such as ray tracing. [6]

  9. Types of mesh - Wikipedia

    en.wikipedia.org/wiki/Types_of_mesh

    Basic three-dimensional cell shapes. The basic 3-dimensional element are the tetrahedron, quadrilateral pyramid, triangular prism, and hexahedron. They all have triangular and quadrilateral faces. Extruded 2-dimensional models may be represented entirely by the prisms and hexahedra as extruded triangles and quadrilaterals.