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Near-Optimum Adaptive Tessellation of General Catmull-Clark Subdivision Surfaces

机译:一般Catmull-Clark细分表面的近最佳自适应曲面细胞

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A new adaptive tessellation method for general Catmull-Clark subdivision surfaces is presented. Development of the new method is based on the observation that optimum adaptive tessellation for rendering purpose is a recursive error evaluation and globalization process. The adaptive tessellation process is done by generating an inscribing polyhedron to approximate the limit surface for each individual patch. The inscribing polyhedron is generated through an adaptive subdivision on the patch’s parameter space driven by a recursive error evaluation process. This approach generates less faces in the resulting approximating mesh while meeting the given precision requirement. The crack problem is avoided through globalization of new vertices generated in the adaptive subdivision process of the parameter space. No crack-detection or crack-elimination is needed in the adaptive tessellation process. Therefore, no mesh element splitting to eliminate cracks is necessary. The new adaptive tessellation method can precisely measure the error for every point of the limit surface. Hence, it has complete control of the accuracy of the tessellation result.
机译:提出了一般Catmull-Clark细分表面的新的自适应曲面细分方法。新方法的开发是基于观察,即用于渲染目的的最佳自适应曲面细分是递归错误评估和全球化过程。通过产生缺陷的多面体来完成自适应曲面细分过程,以近似每个单独的贴片的限制表面。通过递归错误评估过程驱动的贴片的参数空间上的自适应细分,生成刻录多面体。在满足给定的精度要求的同时,该方法在结果近似网格中产生更少的面。通过在参数空间的自适应细分过程中产生的新顶点的全球化来避免裂缝问题。在自适应曲面状过程中不需要裂缝检测或裂缝消除。因此,不需要以消除裂缝的网格元素分裂。新的自适应曲面细分方法可以精确地测量限制表面的每个点的误差。因此,它完全控制了镶嵌结果的准确性。

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