Title
Generalized PolyCube trivariate splines
Document Type
Conference Proceeding
Publication Date
9-15-2010
Abstract
This paper develops a new trivariate hierarchical spline scheme for volumetric data representation. Unlike conventional spline formulations and techniques, our new framework is built upon a novel parametric domain called Generalized PolyCube (GPC), comprising a set of regular cubes being glued together. Compared with the conventional PolyCube (PC) that could serve as a "one-piece" 3-manifold domain, GPC has more powerful and flexible representation ability. We develop an effective framework that parameterizes a solid model onto a topologically equivalent GPC domain, and design a hierarchical fitting scheme based on trivariate T-splines. The entire data-spline-conversion modeling framework provides high-accuracy data fitting and greatly reduce the number of superfluous control points. It is a powerful toolkit with broader application appeal in shape modeling, engineering analysis, and reverse engineering. © 2010 IEEE.
Publication Source (Journal or Book title)
SMI 2010 - International Conference on Shape Modeling and Applications, Proceedings
First Page
261
Last Page
265
Recommended Citation
Li, B., Li, X., Wang, K., & Qin, H. (2010). Generalized PolyCube trivariate splines. SMI 2010 - International Conference on Shape Modeling and Applications, Proceedings, 261-265. https://doi.org/10.1109/SMI.2010.40