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Three-dimensional mesh simplification by subdivided edge classification

机译:细分边缘分类的三维网格简化

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We propose a new quadric error metric (QEM) to simplify 3D mesh models. The new metric is based on the subdivided edge classification to preserve object discontinuities efficiently. After we classify edges into four different types: interior, boundary, boundary incident, and complex edges, we process them according to their types and features in the 3D model. We have tested the proposed algorithm with various VRML models. Simulation results show that the proposed metric is superior to the conventional QEM in maintaining object discontinuities efficiently.
机译:我们提出了一种新的Quadic errar度量(QEM)来简化3D网格模型。新的指标基于细分的边缘分类,以有效地保护对象不连续性。在将边缘分为四种不同类型之后:内部,边界,边界事件和复杂的边缘,我们根据其类型和3D模型的功能处理它们。我们已经使用了各种VRML模型测试了所提出的算法。仿真结果表明,所提出的度量优于传统的QEM,以有效地维持物体不连续性。

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