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Efficient compression of non-manifold polygonal meshes

机译:有效压缩非歧管多边形网格

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We present a method for compressing non-manifold polygonal meshes, i.e. polygonal meshes with singularities, which occur very frequently in the real-world. Most efficient polygonal compression methods currently available are restricted to a manifold mesh: they require a conversion process, and fail to retrieve the original model connectivity after decompression. The present method works by converting the original model to a manifold model, encoding the manifold model using an existing mesh compression technique, and clustering, or stitching together during the decompression process vertices that were duplicated earlier to faithfully recover the original connectivity. This paper focuses on efficiently encoding and decoding the stitching information. By separating connectivity from geometry and properties, the method avoids encoding vertices (and properties bound to vertices) multiple times; thus a reduction of the size of the bit-stream of about 10% is obtained compared with encoding the model as a manifold.
机译:我们提出了一种用于压缩非歧管多边形网格的方法,即具有奇点的多边形网格,其在现实世界中经常出现。当前可用的最有效的多边形压缩方法仅限于歧管网格:它们需要转换过程,并且未能在解压缩后检索原始模型连接。本方法通过将原始模型转换为歧管模型,使用现有网格压缩技术对歧管模型进行编码,以及在早先重复的解压缩过程顶点期间串行或拼接在一起,以忠实地恢复原始连接。本文侧重于有效地编码和解码拼接信息。通过从几何和属性中分离连接,方法避免多次编码顶点(和绑定到顶点的属性);因此,与编码模型作为歧管进行比较,获得约10%的比特流的尺寸的减小。

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