Data structures and algorithms for topological analysis - Archive ouverte HAL
Communication Dans Un Congrès Année : 2014

Data structures and algorithms for topological analysis

Résumé

One of the steps of geometric modeling is to know the topology and/or the geometry of the objects considered. This paper presents different data structures and algorithms used in this study. We are particularly interested by algebraic structures, eg homotopy and homology groups, the Betti numbers, the Euler characteristic, or the Morse-Smale complex. We have to be able to compute these data structures, and for (homotopy and homology) groups, we also want to compute their generators. We are also interested in algorithms CIA and HIA presented in the thesis of Nicolas DELANOUE, which respectively compute the connected components and the homotopy type of a set defined by a CSG (constructive solid geometry) tree. We would like to generalize these algorithms to sets defined by projection.
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Dates et versions

hal-01205762 , version 1 (27-09-2015)

Identifiants

  • HAL Id : hal-01205762 , version 1

Citer

Jean-Marc Cane, George Tzoumas, Dominique Michelucci, Marta Hidalgo, Foufou Sebti. Data structures and algorithms for topological analysis. Science and Information Conference (SAI), 2014, Aug 2014, London, United Kingdom. pp.302--312. ⟨hal-01205762⟩
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