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Multiresolution isosurface extraction by volume partitioning

机译:通过体积划分进行多分辨率等值面提取

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Abstract: We describe an isosurface extraction algorithm which can generate low resolution isosurfaces, with 4 to 25 times fewer triangles than that generated by marching cubes algorithm, in comparable running times. The key idea is to partition the volume in to variable-sized rectangular boxes and extract isosurface for each box. The flexibility of forming rectangular boxes instead of square boxes improves the triangle reduction ratio. It is faster than postprocessing triangle reduction algorithms to generate low resolution mesh though the triangles in the mesh may not be optimally reduced. The generated mesh also preserve the geometry details of the true isosurface. By climbing from vertices to edges to faces, the algorithm constructs boxes which adapt to the geometry of the true isosurface. Unlike previous adaptive cubes algorithms, the algorithm does not suffer from the gap filling problem. !9
机译:摘要:我们描述了一种等值面提取算法,该算法可以在可比的运行时间内生成低分辨率等值面,其三角形比通过行进立方体算法生成的三角形少4至25倍。关键思想是将体积分成可变大小的矩形框,并为每个框提取等值面。形成矩形框而不是方形框的灵活性提高了三角形的缩小率。尽管可能无法最佳地缩小网格中的三角形,但它比后处理三角形缩小算法生成低分辨率网格的速度更快。生成的网格还保留真实等值面的几何细节。通过从顶点爬到边缘到面,该算法构造了适合真实等值面几何形状的框。与以前的自适应立方体算法不同,该算法不会出现间隙填充问题。 !9

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