Titlebook: Digital and Discrete Geometry; Theory and Algorithm Li M. Chen Book 2014 Springer International Publishing Switzerland 2014 Cloud Data Proc

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Digital Planar Geometry: Curves and Connected Regionson. At the end of this chapter, we present two classic theorems related to 2D digital geometry: Pick’s theorem and Minkowski’s theorem. In addition, we discuss the basic concept of image segmentation, one of the major applications of 2D digital planes.

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topics including differential discrete geometry.Includes caThis book provides comprehensive coverage of the modern methods for geometric problems in the computing sciences. It also covers concurrent topics in data sciences including geometric processing, manifold learning, Google search, cloud data

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Elisabeth Vanderheiden,Claude-Hélène Mayer format of randomly collected points, called cloud data or scattered data sets that usually do not form a specific geometric shape. In such a case, the researcher needs to estimate the best possible shape for the data. These types of problems are usually related to geometric processing.

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Yongjie Sha,Jiang Wu,Wei Qi Limdges between two notes as discrete sampling points. Euclidean distance can be viewed as the weight on the edges. Embedding is putting a discrete object back into a continuous space. For instance, putting a weighted graph into 3D Euclidean space, we must not allow two edges to cross each other. In pr