Block meshes: Topologically robust shape modeling with graphs embedded on 3-manifolds
Ergun Akleman, Jianer Chen, Jonathan L. Gross
In Computers & Graphics, 46(0), 2015.
Abstract: We present a unifying framework to represent all topologically distinct shapes in 3D, from solids to surfaces and curves. This framework can be used to build a universal and modular system for the visualization, design, and construction of shapes, amenable to a broad range of science, engineering, architecture, and design applications. Our unifying framework uses 3-space immersions of higher-dimensional-manifolds, which facilitate our goal of topological robustness. We demonstrate that a specific type of orientable 2-manifold mesh, which we call a CMM-pattern coverable mesh, can be used to represent structures in higher-dimensional manifolds, which we call block meshes. Moreover, the framework includes a set of operations that can preserve CMM-pattern coverability. In this sense, CMM-pattern-coverable meshes provide an algebraization of shape processing that (1) supports a generalized mesh representation for blocks that may not necessarily be solids, and (2) requires a minimal set of operations that transform CMM-pattern-coverable meshes to CMM-pattern-coverable meshes.
Keyword(s): Shape modeling,3-manifolds,Immersions,3D-thickenings,Shape algebra
@article{Akleman:2015:BMT,
author = {Ergun Akleman and Jianer Chen and Jonathan L. Gross},
title = {Block meshes: Topologically robust shape modeling with graphs embedded on 3-manifolds},
journal = {Computers & Graphics},
volume = {46},
number = {0},
pages = {306--326},
year = {2015},
}
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