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An extension of manifold boundary representations to the r-sets

Authors: Desaulniers, H.; Stewart, N. F.;

An extension of manifold boundary representations to the r-sets

Abstract

In this paper we study the relationship between manifold solids (r-sets whose boundaries are two-dimensional closed manifolds) and r-sets . We begin by showing that an r-set may be viewed as the limit of a certain sequence of manifold solids, where distance is measured using the Hausdorff metric. This permits us to introduce a minimal set of generalized Euler operators, sufficient for the construction and manipulation of r-sets. The completeness result for ordinary Euler operators carries over immediately to the generalized Euler operators on the r-sets and the modification of the usual boundary data structures, corresponding to our extension to nonmanifold r-sets, is straightforward. We in fact describe a modification of a well-known boundary data structure in order to illustrate how the extension can be used in typical solid modeling algorithms, and describe an implementation. The results described above largely eliminate what has been called an inherent mismatch between the modeling spaces defined by manifold solids and by r-sets. We view the r-sets as a more appropriate choice for a modeling space: in particular, the r-sets provide closure with respect to regularized set operations and a complete set of generalized Euler operators for the manipulation of boundary representations, for graphics and other purposes. It remains to formulate and prove a theorem on the soundness of the generalized Euler operators.

Keywords

Euler operators, manifold object, Computer graphics; computational geometry (digital and algorithmic aspects), nonmanifold objects, boundary data structures, boundary representations, \(r\)-sets

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Average
Top 10%
Average
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