DocumentCode :
2148300
Title :
Efficient distance computation for quadratic curves and surfaces
Author :
Lennerz, Christian ; Schömer, Elmar
Author_Institution :
Max-Planck-Inst. for Comput. Sci., Saarbrucken, Germany
fYear :
2002
fDate :
2002
Firstpage :
60
Lastpage :
69
Abstract :
Virtual prototyping and assembly planning require physically based simulation techniques. In this setting the relevant objects are mostly mechanical parts, designed in CAD-programs. When exported to the prototyping and planning systems, curved parts are approximated by large polygonal models, thus confronting the simulation algorithms with high complexity Algorithms for collision detection in particular are a bottleneck of efficiency and suffer from accuracy and robustness problems. To overcome these problems, our algorithm directly operates on the original CAD-data. This approach reduces the input complexity and avoids accuracy problems due to approximation errors. We present an efficient algorithm for computing the distance between patches of quadratic surfaces trimmed by quadratic curves. The distance calculation problem is reduced to the problem of solving univariate polynomials of a degree of at most 24. Moreover, we identify an important subclass for which the degree of the polynomials is bounded by 8.
Keywords :
CAD; assembly planning; computational geometry; engineering graphics; polynomials; rapid prototyping (industrial); virtual reality; CAD data; accuracy; assembly planning; collision detection; complexity; efficient distance computation; quadratic curves; quadratic surface patches; quadratic surfaces; robustness; simulation algorithms; univariate polynomials; virtual prototyping; Assembly; Computational modeling; Computer science; Computer simulation; Detection algorithms; Industrial training; Polynomials; Robustness; Virtual prototyping; Virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geometric Modeling and Processing, 2002. Proceedings
Print_ISBN :
0-7695-1674-2
Type :
conf
DOI :
10.1109/GMAP.2002.1027497
Filename :
1027497
Link To Document :
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