A data structure for non-manifold simplicial d-complexes
Leila De Floriani, David Greenfieldboyce, Annie Hui
SGP04: Eurographics Symposium on Geometry Processing, 2004, pp. 85--94.
Abstract: We propose a data structure for d-dimensional simplicial complexes, that we call the Simplified Incidence Graph (SIG). The simplified incidence graph encodes all simplices of a simplicial complex together with a set of boundary and partial co-boundary topological relations. It is a dimension-independent data structure in the sense that it can represent objects of arbitrary dimensions. It scales well to the manifold case, i.e. it exhibits a small overhead when applied to simplicial complexes with a manifold domain. Here, we present efficient navigation algorithms for retrieving all topological relations from a SIG, and an algorithm for generating a SIG from a representation of the complex as an incidence graph. Finally, we compare the simplified incidence graph with the incidence graph, with a widely-used data structure for d-dimensional pseudo-manifold simplicial complexes, and with two data structures specific for two- and three-dimensional simplicial complexes.
@inproceedings{DeFloriani:2004:ADS,
author = {Leila De Floriani and David Greenfieldboyce and Annie Hui},
title = {A data structure for non-manifold simplicial d-complexes},
booktitle = {SGP04: Eurographics Symposium on Geometry Processing},
pages = {85--94},
year = {2004},
}
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