DocumentCode :
3308863
Title :
An efficient approach for computing distance between two quadratic surfaces
Author :
Yang, Lu ; Feng, Yong ; Qin, Xiaolin
Author_Institution :
Lab. for Automated Reasoning & Programming, CAS, Chengdu, China
fYear :
2009
fDate :
8-11 Aug. 2009
Firstpage :
244
Lastpage :
248
Abstract :
In computer-aided design systems and virtual reality, the computation of distance between two objects is required. The problem of distance computation has been well studied for polyhedral objects in the past years. However, the curve surfaces of objects are often approximated by polyhedral, suffering from accuracy problem due to approximation errors. In order to improve the accuracy, the surfaces of objects are approximated by piecewise quadratic surfaces, and the conditional relative extremum is calculated with Lagrange multiplier, which results in solving a system of two bivariate polynomials with high degree. In this paper, an efficient approach is presented, yielding a system of two bivariate polynomial with degree 6. Compared with the other bivariate polynomials arising from distance computation for two quadratic surfaces, the degree of polynomials from our approach is the lowest and the computation amount is the least so far. Hence, the new approach can meet the requirement for real-time computation in the virtual reality.
Keywords :
approximation theory; computational geometry; curve fitting; error analysis; surface fitting; virtual reality; Lagrange multiplier; approximation error; bivariate polynomial; computer-aided design system; conditional relative extremum; object curve surface; piecewise quadratic surface; polyhedral object; quadratic surface computing distance; virtual reality; Automatic programming; Computational modeling; Computer applications; Content addressable storage; Industrial training; Laboratories; Lagrangian functions; Polynomials; Programming profession; Virtual reality; Quadratic surface; collision detection; distance computation; normal vector; virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
Type :
conf
DOI :
10.1109/ICCSIT.2009.5234414
Filename :
5234414
Link To Document :
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