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Progressive Compression for Lossless Transmission of Triangle Meshes

机译:渐进压缩的三角形网格无损传输

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Lossless transmission of 3D meshes is a very challenging and timely problem for many applications, ranging from collaborative design to engineering. Additionally, frequent delays in transmissions call for progressive transmission in order for the end user to receive useful successive refinements of the final mesh. In this paper, we present a novel, fully progressive encoding approach for lossless transmission of triangle meshes with a very fine granularity. A new valence-driven decimating conquest, combined with patch tiling and an original strategic retriangulation is used to maintain the regularity of valence. We demonstrate that this technique leads to good mesh quality, near-optimal connectivity encoding, and therefore a good rate-distortion ratio throughout the transmission. We also improve upon previous lossless geometry encoding by decorrelating the normal and tangential components of the surface. For typical meshes, our method compresses connectivity down to less than 3.7 bits per vertex, 40% better in average than the best methods previously reported; we further reduce the usual geometry bit rates by 20% in average by exploiting the smoothness of meshes. Concretely, our technique can reduce an ascii VRML 3D model down to 1.7% of its size for a 10-bit quantization (2.3% for a 12-bit quantization) while providing a very progressive reconstruction.
机译:对于从协作设计到工程设计的许多应用,3D网格的无损传输是一个非常具有挑战性和及时的问题。另外,传输中的频繁延迟要求渐进式传输,以使最终用户获得最终网格的有用的连续细化。在本文中,我们提出了一种新颖的,完全渐进的编码方法,用于以非常精细的粒度无损传输三角形网格。一种新的价位驱动的抽取征服,结合补丁拼贴和原始的策略性重新三角化,可以保持价位的规律性。我们证明了该技术可导致良好的网格质量,接近最佳的连接编码,因此在整个传输过程中具有良好的速率失真比。我们还通过取消关联曲面的法线和切向分量来改进以前的无损几何编码。对于典型的网格,我们的方法将连接压缩到每个顶点少于3.7位,比以前报道的最佳方法平均好40%;通过利用网格的平滑度,我们进一步将通常的几何位速率平均降低了20%。具体来说,对于10位量化,我们的技术可以将ascii VRML 3D模型缩小到其大小的1.7%(对于12位量化,则为2.3%),同时提供了非常先进的重构功能。

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