大型点云的伴随层次构建与渲染

V. Silva, R. Marroquim, Claudio Esperança
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引用次数: 0

摘要

渲染大型点云通常需要建立一个分层的数据结构,以便访问在给定的视锥面和细节水平下最能代表物体的点。从时间和空间复杂性的角度来看,构建这样的数据结构通常代表了渲染管道成本的很大一部分,特别是在仅为检查目的进行渲染时。在这项工作中,我们提出了OMiCroN——在导航时倾斜多通道分层创建——这是第一个能够立即显示几何部分渲染的算法,前提是云可以按Morton顺序排序。实际上,将OMiCroN与并行运行的增量排序算法耦合在一起的管道可以在生成第一个排序的前缀后立即开始呈现,这使得这种设置非常便于流式查看。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Concomitant Hierarchy Construction and Rendering of Large Point Clouds
Rendering large point clouds ordinarily requires building a hierarchical data structure for accessing the points that best represent the object for a given viewing frustum and level-of-detail. The building of such data structures frequently represents a large portion of the cost of the rendering pipeline both in terms of time and space complexity, especially when rendering is done for inspection purposes only. In this work we present OMiCroN -- Oblique Multipass Hierarchy Creation while Navigating -- which is the first algorithm capable of immediately displaying partial renders of the geometry, provided the cloud is made available sorted in Morton order. In fact, a pipeline coupling OMiCroN with an incremental sorting algorithm running in parallel can start rendering as soon as the first sorted prefix is produced, making this setup very convenient for streamed viewing.
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