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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Hierarchyless simplification, stripification and compression of triangulated two-manifolds
Organization Unit
Authors
  • P Diaz-Gutierrez
  • M Gopi
  • Renato Pajarola
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title Computer Graphics Forum
Publisher Wiley-Blackwell
Geographical Reach international
ISSN 0167-7055
Volume 24
Number 3
Page Range 457 - 467
Date 2005
Abstract Text In this paper we explore the algorithmic space in which stripification, simplification and geometric compression of triangulated 2-manifolds overlap. Edge-collapse/uncollapse based geometric simplification algorithms develop a hierarchy of collapses such that during uncollapse the reverse order has to be maintained. We show that restricting the simplification and refinement operations only to, what we call, the collapsible edges creates hierarchyless simplification in which the operations on one edge can be performed independent of those on another. Although only a restricted set of edges is used for simplification operations, we prove topological results to show that, with minor retriangulation, any triangulated 2-manifold can be reduced to either a single vertex or a single edge using the hierarchyless simplification, resulting in extreme simplification. The set of collapsible edges helps us analyze and relate the similarities between simplification, stripification and geometric compression algorithms. We show that the maximal set of collapsible edges implicitly describes a triangle strip representation of the original model. Further, these strips can be effortlessly maintained on multiresolution models obtained through any sequence of hierarchyless simplifications on these collapsible edges. Due to natural relationship between stripification and geometric compression, these multi-resolution models can also be efficiently compressed using traditional compression algorithms. We present algorithms to find the maximal set of collapsible edges and to reorganize these edges to get the minimum number of connected components of these edges. An order-independent simplification and refinement of these edges is achieved by our novel data structure and we show the results of our implementation of view-dependent, dynamic, hierarchyless simplification. We maintain a single triangle strip across all multi-resolution models created by the view-dependent simplification process. We present a new algorithm to compress the models using the triangle strips implicitly defined by the collapsible edges.
Digital Object Identifier 10.1111/j.1467-8659.2005.00871.x
Other Identification Number merlin-id:405
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