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Edge-Sharpener: Recovering sharp features in triangulations of non-adaptively re-meshed surfaces

机译:边缘锐化器:在非自适应重新网格化的曲面的三角剖分中恢复清晰的特征

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摘要

3D scanners, iso-surface extraction procedures, and several recent geometric compression schemes sample surfaces of 3D shapes in a regular fashion, without any attempt to align the samples with the sharp edges and corners of the original shape. Consequently, the interpolating triangle meshes chamfer these sharp features and thus exhibit significant errors. The new Edge-Sharpener filter introduced here identifies the chamfer edges and subdivides them and their incident triangles by inserting new vertices and by forcing these vertices to lie on intersections of planes that locally approximate the smooth surfaces that meet at these sharp features. This post-processing significantly reduces the error produced by the initial sampling process. For example, we have observed that the L? error introduced by the SwingWrapper9 remeshing-based compressor can be reduced down to a fifth by executing Edge-Sharpener after decompression, with no additional information.
机译:3D扫描仪,等值面提取程序和几种最新的几何压缩方案以常规方式对3D形状的表面进行采样,而无需尝试将样品与原始形状的尖锐边缘和角对齐。因此,插值三角形网格会倒角这些尖锐的特征,从而表现出明显的误差。此处介绍的新的Edge-Sharpener滤镜可识别倒角边缘,并通过插入新顶点并强制这些顶点位于局部近似于在这些尖锐特征处会合的光滑表面的平面相交处,将其倒角和它们的入射三角形细分。这种后处理大大减少了初始采样过程产生的误差。例如,我们观察到L?通过SwingWrapper9基于重网格的压缩器引入的错误可以通过解压缩后执行Edge-Sharpener减少到五分之一,而无需任何其他信息。

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