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Length-preserved Natural Boundary for Intrinsic Parameterization

机译:用于内部参数化的保留长度的自然边界

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摘要

This paper proposes a fast approach to generate length-preserved natural boundary for intrinsic parameterization. Given a triangular mesh with disk-like topology, we compute an optimal boundary for its parameterization. An optimal boundary is expected to be length-preserved with the length of every triangular edge on the boundary is invariant before and after parameterization; also, the boundary is requested to be natural where the inner angle is close to the angle excess at every boundary vertex on the given mesh. Computation of a length-preserved natural boundary is formulated as a constrained non-linear optimization problem, the procedure of solving which is in general very time-consuming. Here, we speed up the optimization by adopting the scheme of sequential linearly constrained programming. It is shown at the end of this paper that our length-preserved natural boundary could greatly improve the speed and quality of the original intrinsic parameterization.
机译:本文提出了一种快速的方法来生成保留长度的自然边界用于内在参数化。给定具有盘状拓扑的三角形网格,我们为其参数化计算最佳边界。在参数化之前和之后,预计最佳边界将保留长度,并且边界上每个三角形边缘的长度不变。同样,当内角接近给定网格上每个边界顶点处的多余角度时,要求边界自然。保留长度的自然边界的计算公式化为约束的非线性优化问题,求解过程通常非常耗时。在这里,我们采用顺序线性约束编程的方案来加快优化速度。本文结尾表明,我们保留长度的自然边界可以极大地提高原始内在参数化的速度和质量。

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