Area-Preserving Hierarchical NURBS Surfaces Computed by the Optimal Freeform Transformation. (February 2022)

• Record Type: Journal Article
• Authors: Li, Xiao-Wei; Yang, Yi-Jun; Zeng, Wei; Bi, Yu-Li; Xu, Jin-Lan; Xu, Gang; Zhang, Xing-Jun
• Is Part Of: Computer aided design. Volume 143(2022)
• Publication Date: 2022-02
• Subjects: NURBS surfaces -- Area-preserving parameterization -- Least square method; Computer-aided design -- Periodicals; Engineering design -- Data processing -- Periodicals; Computer graphics -- Periodicals; Conception technique -- Informatique -- Périodiques; Infographie -- Périodiques; Computer graphics; Engineering design -- Data processing; Periodicals; Electronic journals; 620.00420285
• DOI: 10.1016/j.cad.2021.103134
• Languages: English
• ISSNs: 0010-4485

Abstract

Abstract: The equiareality of NURBS surfaces highly affects their rendering and tessellation results. To improve the equiareality of NURBS surfaces, an optimization algorithm using freeform transformations is presented in this paper. The equiareality energy is first formulated and its numerical approximation is then constructed using the composite Simpson's rule. By constructing the parameterization of the initial freeform transformation using a low-stretch-mesh-parameterization method, the optimal freeform transformation is obtained by the Levenberg–Marquardt method, which is further interleaved with the freeform refinement procedure to generate a hierarchical NURBS surface with bounded equiareality deviations. Experimental results are given to show the performance of our algorithm for rendering and tessellation applications. Highlights: An optimization method is presented to improve the equiareality of NURBS surfaces using the freeform transformation. The equiareality energy of the hierarchical NURBS surfaces is formulated. The gradient of the discretized equiareality energy is derived in this paper.