Issue No. 02 - Feb. (2014 vol. 20)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2013.237
Hongwei Lin , Dept. of Math., Zhejiang Univ., Hangzhou, China
Yang Qin , Dept. of Math., Zhejiang Univ., Hangzhou, China
Hongwei Liao , Dept. of Math., Zhejiang Univ., Hangzhou, China
Yunyang Xiong , Dept. of Math., Zhejiang Univ., Hangzhou, China
Because the B-spline surface intersection is a fundamental operation in geometric design software, it is important to make the surface intersection operation robust and efficient. As is well known, affine arithmetic is robust for calculating the surface intersection because it is able to not only find every branch of the intersection, but also deal with some singular cases, such as surface tangency. However, the classical affine arithmetic is defined only for the globally supported polynomials, and its computation is very time consuming, thus hampering its usefulness in practical applications, especially in geometric design. In this paper, we extend affine arithmetic to calculate the range of recursively and locally defined B-spline basis functions, and we accelerate the affine arithmetic-based surface intersection algorithm by using a GPU. Moreover, we develop efficient methods to thin the strip-shaped intersection regions produced by the affine arithmetic-based intersection algorithm, calculate the intersection points, and further improve their accuracy. The many examples presented in this paper demonstrate the robustness and efficiency of this method.
Graphics processing units, Splines (mathematics), Strips, Robustness, Accuracy, Three-dimensional displays, Acceleration
Hongwei Lin, Yang Qin, Hongwei Liao and Yunyang Xiong, "Affine Arithmetic-Based B-Spline Surface Intersection with GPU Acceleration," in IEEE Transactions on Visualization & Computer Graphics, vol. 20, no. 2, pp. 172-181, 2014.