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Titlebook: Discrete Geometry for Computer Imagery; 9th International Co Gunilla Borgefors,Ingela Nyström,Gabriella Sanniti Conference proceedings 2000

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Structured Illumination Microscopyrs, is solved by the Gauss pivot. The problem investigated in this paper is very close to this classical question: we denote . the function of ℝ. defined by . and the question is now to determine if a given vector v ∈ ℤ. belongs to .. This problem can be easily seen as a sytem of inequalities and so
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https://doi.org/10.1007/978-3-030-21691-7 when some known absorption is supposed. It is math-ematically interesting when the absorbed projection of a matrix element is the same as the absorbed projection of the next two consecutive el-ements together. We show that, in this special case, the non-uniquely determined matrices contain a certai
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Matthew Ballard,Charles Doran,Eric Sharpeble for classi.cation or compression purposes. Theoretical approaches based on di.erential topology and geometry have been used for surface coding, for example Morse theory and Reeb graphs. To use these approaches in discrete geometry, it is necessary to adapt concepts developed for smooth manifolds
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Type II Superstrings in Four Dimensionsundary can be retrieved by digitizing the smoothed one. To this end, we propose a representation of the boundary of a discrete volume that we call Euclidean net and which is a generalization to the three-dimensional space of Euclidean Path introduced by Braquelaire and Vialard [.]. Euclidean nets ca
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Peter G. O. Freund,K. T. Mahanthappanning algorithm. The surface of an object composed of voxels is a seto f surfels (faces of voxels) which is the boundary between this object and its complementary. But this representation is not the classical one to visualize and to work on 3D objects, in frameworks like Computer Assisted Geometric
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