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Discrete Surface Ricci Flow: Theory and Applications

机译:离散地面Ricci流量:理论和应用

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Conformal geometry is at the core of pure mathematics. Conformal structure is more flexible than Riemaniann metric but more rigid than topology. Conformal geometric methods have played important roles in engineering fields. This work introduces a theoretically rigorous and practically efficient method for computing Riemannian metrics with prescribed Gaussian curvatures on discrete surfaces-discrete surface Ricci flow, whose continuous counter part has been used in the proof of Poincare conjecture. Continuous Ricci flow conformally deforms a Riemannian metric on a smooth surface such that the Gaussian curvature evolves like a heat diffusion process. Eventually, the Gaussian curvature becomes constant and the limiting Riemannian metric is conformal to the original one. In the discrete case, surfaces are represented as piecewise linear triangle meshes. Since the Riemannian metric and the Gaussian curvature are discretized as the edge lengths and the angle deficits, the discrete Ricci flow can be defined as the deformation of edge lengths driven by the discrete curvature. The existence and uniqueness of the solution and the convergence of the flow process are theoretically proven, and numerical algorithms to compute Riemannian metrics with prescribed Gaussian curvatures using discrete Ricci flow are also designed. Discrete Ricci flow has broad applications in graphics, geometric modeling, and medical imaging, such as surface parameterization, surface matching, manifold splines, and construction of geometric structures on general surfaces.
机译:保形几何是在纯数学的核心。保形结构比Riemaniann指标更灵活,但比拓扑更硬。形几何方法在工程领域发挥了重要作用。这项工作引入了用于计算与分离表面离散表面Ricci流规定高斯曲率,其连续式计数器部分在庞加莱猜想的证明已使用的黎曼度量理论上严谨和实践有效的方法。连续Ricci流共形变形上表面平滑的黎曼度量,使得高斯曲率演变等的热扩散过程。最终,高斯曲率变为恒定的并且限制黎曼度量是保形的原来的一个。在离散的情况下,表面被表示为分段线性三角形网格。由于黎曼度量和高斯曲率被离散为边缘长度和角度缺陷,离散Ricci流可以被定义为通过离散曲率从动边缘长度的变形。该溶液中,在流动过程的收敛的存在性和唯一理论上证明,和数值算法来计算与使用离散Ricci流规定的高斯曲率也被设计黎曼度量。离散Ricci流在图形广阔的应用领域,几何造型,以及医学成像,例如表面参数化,表面匹配,歧管的花键,并且在一般的表面几何结构的施工。

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