快速解压基于web的视图依赖的3D渲染

F. Ponchio, M. Dellepiane
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引用次数: 43

摘要

由于带宽有限,将3D数据有效地传输到Web客户端和移动应用程序仍然是一个挑战。在网格压缩方面的研究大多集中在提高压缩比上。然而,在这种情况下,在Web上使用Javascript和在移动应用程序中使用低功耗cpu导致了关键的计算成本。渐进式解码通过提供模型的简化版本来改善用户体验,该模型可以随着时间的推移而改进,并且能够掩盖延迟。当前方法的压缩率非常低,或者需要额外的计算成本。在这类方法中,对性能更好的算法的需求尤其明显,Limper [Limper等人,2013b]演示了解码时间如何在中等低带宽下成为限制因素。在本文中,我们提出了一种新的基于WebGL的多分辨率渲染算法,该算法结合了渐进式加载、依赖于视图的分辨率和网格压缩,在Javascript中提供了高帧率和每秒数百万个三角形的解码速度。该方法具有并行性,对非流形网格具有鲁棒性,并且可扩展到非常大的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast decompression for web-based view-dependent 3D rendering
Efficient transmission of 3D data to Web clients and mobile applications remains a challenge due to limited bandwidth. Most of the research focus in the context of mesh compression has been on improving compression ratio. However, in this context the use of Javascript on the Web and low power CPUS in mobile applications led to critical computational costs. Progressive decoding improves the user experience by providing a simplified version of the model that refines with time, and it's able to mask latency. Current approaches do so at very poor compression rates or at additional computational cost. The need for better performing algorithms is especially evident with this class of methods where Limper [Limper et al. 2013b] demonstrated how decoding time becomes a limiting factor even at moderately low bandwidths. In this paper we present a novel multi-resolution WebGL based rendering algorithm which combines progressive loading, view-dependent resolution and mesh compression, providing high frame rates and a decoding speed of million of triangles per second in Javascript. This method is parallelizable, robust to non-manifold meshes, and scalable to very large models.
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