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Polygon properties calculated from the vertex neighborhoods
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Source Annual Symposium on Computational Geometry archive
Proceedings of the third annual symposium on Computational geometry table of contents
Waterloo, Ontario, Canada
Pages: 110 - 118  
Year of Publication: 1987
ISBN:0-89791-231-4
Author
W. R. Franklin  Electrical, Computer, and Systems Engineering Dept., 6026 J.E.C., Rensselaer Polytechnic Institute, Troy, NY, USA
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

Calculating properties of polyhedra given only the set of the locations and neighborhoods of the vertices is easy. Possible properties include volume, surface area, and point containment testing. No global topological information at all is explicitly needed (although the complete global topology could be recovered). The neighborhood of the vertex means the directions of the edges and faces on it but not their extents. These vertex-based formulae are dual to the usual formulae that use the faces. They have been implemented and the stability against inconsistent data tested. Alternative data structures and formulae for polyhedron calculation are important since special cases are a function partly of the data structure, and because different methods have different numerical accuracy and error detection properties.


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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Wm. Randolph Franklin, "Effkient Polyhedron Intersection and Union," Proc. Graphics Znterface'82, pp. 73-80, Toronto, 19-21 May 1982.
 
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Kevin J. Weiler, Topological Structures I'OI Geometric Modeling, Center for Interactive Computer Graphics, Rensselaer Polytechnic Institute, August 1986. PhD Thesis.
 
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Denis White, "A New Method of Polygon Overlay,"An Advanced Study Symposium on Topological Data Structures for Geographic Injormation Systems, Laboratory for Computer Graphics and Spatial Analysis, Harvard University, Cambridge, MA, USA, 02138, Oct. X-21, 1977.