渐进式四面体网格采用三角面塌陷

Fei Zhao, Xiaohui Qu, Longpin Yang, Y. Jiao
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引用次数: 0

摘要

如何对大规模四面体数据集进行简化和重建,以便用于实时渲染,是一个非常重要的问题。提出了一种利用面塌缩对四面体网格进行快速递进化简和重构的新方法。我们以最大三角形面积拉伸比作为判定人脸是否可以塌陷的主要标准。在我们的方法中,平均每一步删除11个四面体网格,在我们的实验中简化和重建的效率很高。该方法对四面体网格的边界保持也有较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Progressive tetrahedral mesh using triangular face collapse
How to simplify and rebuild a large scale tetrahedral dataset in order to use in the real time rendering is of more importance. This paper introduces an novel approach using face collapse for rapid progressive simplification and reconstruction of tetrahedral mesh. We use the Maximum Triangular Area Stretch Ratio as the mainly criterion to decide whether the face can be collapsed. In our method, it will delete eleven tetrahedral mesh in every step on average, and the efficiency of simplification and reconstruction is very high in our experiments. Our method also can do well in preservation of the boundary of the tetrahedral mesh.
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