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Surface triangulations are important for visualizing surfaces and; the application of finite element methods. The triangulation of a parametrically defined surface is simply achieved by triangulating the area of definition (see second figure, depicting the Monkey Saddle). However, the triangles may vary in shape and extension in object space ...
The Riemann-Hurwitz formula allows to determine the genus of a compact, connected Riemann surface without using explicit triangulation. The proof needs the existence of triangulations for surfaces in an abstract sense: Let F : X → Y {\displaystyle F:X\rightarrow Y} be a non-constant holomorphic function on a surface with known genus.
A Euclidean triangulation of a surface is a set of subset of compact spaces of homeomorphic to a non degenerate triangle in via such that they cover the entire surface, the intersection on any pair of subsets is either empty, an edge or a vertex and if the intersection the intersection is not empty then is an isometry of the plane on that ...
Draw the normal to that plane at the centre: it intersects the surface at two points and the point that is on the same side of the plane as A is (conventionally) termed the pole of A and it is denoted by A'. The points B' and C' are defined similarly. The triangle A'B'C' is the polar triangle corresponding to triangle ABC.
A triangulation of a set of points in the Euclidean space is a simplicial complex that covers the convex hull of , and whose vertices belong to . [1] In the plane (when P {\displaystyle {\mathcal {P}}} is a set of points in R 2 {\displaystyle \mathbb {R} ^{2}} ), triangulations are made up of triangles, together with their edges and vertices.
One of the sensors is typically a digital camera device, and the other one can also be a camera or a light projector. The projection centers of the sensors and the considered point on the object's surface define a (spatial) triangle. Within this triangle, the distance between the sensors is the base b and must be known. By determining the ...
Compared to any other triangulation of the points, the smallest angle in the Delaunay triangulation is at least as large as the smallest angle in any other. However, the Delaunay triangulation does not necessarily minimize the maximum angle. [6] The Delaunay triangulation also does not necessarily minimize the length of the edges.
Polygon triangulation. In computational geometry, polygon triangulation is the partition of a polygonal area (simple polygon) P into a set of triangles, [1] i.e., finding a set of triangles with pairwise non-intersecting interiors whose union is P. Triangulations may be viewed as special cases of planar straight-line graphs.