Computational Geometry: Exploring Geometric Insights for Computer Vision

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What is Computational Geometry

Computational geometry is a branch of computer science devoted to the study of algorithms which can be stated in terms of geometry. Some purely geometrical problems arise out of the study of computational geometric algorithms, and such problems are also considered to be part of computational geometry. While modern computational geometry is a recent development, it is one of the oldest fields of computing with a history stretching back to antiquity.


How you will benefit


(I) Insights, and validations about the following topics:


Chapter 1: Computational geometry


Chapter 2: Delaunay triangulation


Chapter 3: Convex hull


Chapter 4: Voronoi diagram


Chapter 5: Discrete geometry


Chapter 6: Polygon triangulation


Chapter 7: Euclidean minimum spanning tree


Chapter 8: Simple polygon


Chapter 9: Point-set triangulation


Chapter 10: Triangulation (geometry)


(II) Answering the public top questions about computational geometry.


(III) Real world examples for the usage of computational geometry in many fields.


Who this book is for


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Computational Geometry.

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