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Using tolerances to guarantee valid polyhedral modeling results
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Source International Conference on Computer Graphics and Interactive Techniques archive
Proceedings of the 17th annual conference on Computer graphics and interactive techniques table of contents
Dallas, TX, USA
Pages: 105 - 114  
Year of Publication: 1990
ISBN:0-89791-344-2
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Author
Mark Segal  Silicon Graphics Computer Systems, 2011 N. Shoreline Blvd., Mountain View, CA
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 30,   Citation Count: 14
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ABSTRACT

A polyhedral solid modeler that operates on boundary representations of objects must infer topological information from numerical data. Unavoidable errors (due to limited precision) affect these calculations so that their use may produce ambiguous or contradictory results. These effects cause existing polyhedral modelers to fail when presented with objects that nearly align or barely intersect[10][7].An object description associating a tolerance with each of its topological features (vertices, edges, and faces) is introduced. The use of tolerances leads to a definition of topological consistency that is readily applied to boundary representations. The implications of using tolerances to aid in making consistent topological determinations from imprecise geometric data are explored and applied to the calculations of a polyhedral solid modeler. The resulting modeler produces a consistent polyhedral boundary when given consistent boundaries as input.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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John Francis Canny. The Complexity of Robot Motion Planning. PhD thesis, MIT, 1987.
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A. Robin Forrest. Computational geometry and software engineering: Towards a geometric computing environment. in David E Rogers and Rae A. Earnshaw, editors, Techniques for Computer Graphics, pages 23-37. Springer-Verlag, New York, 1987.
 
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S.P. Mudur and P.A. Koparkar. Interval methods for processing geometric objects. IEEE CG & A 4,2 (February 1984), 7-17.
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Aristides A. G. Requicha. Toward a theory of geometric tolerancing. International Journal of Robotics Research 2,4 (Winter 1983), 45-60.
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J. Stoer and R. Bulirsch. Introduction to Numerical Analysis. Springer-Verlag, New York, 1980.
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CITED BY  14