Planar parameterization for closed 2-manifold genus-1 meshes

D. Steiner, A. Fischer
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引用次数: 11

Abstract

Parameterization of 3D meshes is important for many graphics and CAD applications, in particular for texture mapping, re-meshing and morphing. Current parameterization methods for closed manifold genus-n meshes usually involve cutting the mesh according to the object generators, fixing the resulting boundary and then applying the 2D position for each of the mesh vertices on a plane, such that the flattened triangles are not too distorted and do not overlap. Unfortunately, fixing the boundary distorts the resulting parameterization, especially near the boundary. A special case is that of closed manifold genus-1 meshes that have two generators. They can therefore be flattened naturally to a plane without the use of a fixed boundary while still maintaining the continuity of the parameterization. Therefore, in treating genus-1 objects, this attribute must be exploited. This paper introduces a generalized method for planar parameterization of closed manifold genus-1 meshes. As in any planar parameterization with a fixed boundary, weights are assigned over the mesh edges. The type of weights defined depends on the type of mesh characteristics to be preserved. The paper proves that the method satisfies the non-overlapping requirement for any type of positive barycentric weights, including nonsymmetrical weights. Moreover, convergence is guaranteed according to the Gauss-Seidel method. The proposed method is simple to implement, fast and robust. The feasibility of the method will be demonstrated on several complex objects.
封闭2流形1属网格的平面参数化
三维网格的参数化对于许多图形和CAD应用非常重要,特别是对于纹理映射、重网格和变形。目前对于闭合流形属n网格的参数化方法通常是根据对象生成器对网格进行切割,固定得到的边界,然后在平面上对每个网格顶点应用二维位置,这样平坦的三角形就不会太扭曲,也不会重叠。不幸的是,固定边界会扭曲最终的参数化,特别是在边界附近。一种特殊情况是具有两个生成器的闭流形-1类网格。因此,它们可以在不使用固定边界的情况下自然地被平面化为一个平面,同时仍然保持参数化的连续性。因此,在处理属1对象时,必须利用此属性。介绍了闭流形1属网格平面参数化的一种广义方法。与任何具有固定边界的平面参数化一样,在网格边缘上分配权重。定义的权重类型取决于要保留的网格特征的类型。证明了该方法对任何类型的正质心权,包括非对称权,都满足不重叠的要求。并且根据高斯-塞德尔方法保证了收敛性。该方法实现简单,速度快,鲁棒性好。该方法的可行性将在几个复杂的对象上进行验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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