Fast Image‐Based Modeling of Astronomical Nebulae
Fast Image‐Based Modeling of Astronomical Nebulae
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DOI：
10.1111/cgf.12216
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发表时间：
2013-10
影响因子：
2.5
通讯作者：
S. Wenger;D. Lorenz;M. Magnor
中科院分区：
文献类型：
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作者：
S. Wenger;D. Lorenz;M. Magnor
天文星云是太阳系之外已知的最复杂、最吸引人的现象之一。然而，我们在地球上的固定观测点限制了我们对这些物体的单一已知视角，而且它们复杂的体积结构不能直接恢复。最近重建体积3D模型的方法使用了许多星云固有的近似对称性，但在大型多GPU集群上需要几个小时的计算时间。我们提出了一种新的基于组稀疏性的重建算法，该算法达到甚至超过了先前结果的质量，而所需时间仅为传统台式PC的一小部分，从而使天文馆或教育机构的最终用户无需昂贵的硬件或手动建模即可生成高质量的内容。原则上，我们的方法可以推广到具有任意类型的用户指定的对称性的其他透明现象。
Astronomical nebulae are among the most complex and visually appealing phenomena known outside the bounds of the Solar System. However, our fixed vantage point on Earth limits us to a single known view of these objects, and their intricate volumetric structure cannot be recovered directly. Recent approaches to reconstructing a volumetric 3D model use the approximate symmetry inherent to many nebulae, but require several hours of computation time on large multi‐GPU clusters. We present a novel reconstruction algorithm based on group sparsity that reaches or even exceeds the quality of prior results while taking only a fraction of the time on a conventional desktop PC, thereby enabling end users in planetariums or educational facilities to produce high‐quality content without expensive hardware or manual modeling. In principle, our approach can be generalized to other transparent phenomena with arbitrary types of user‐specified symmetries.