Fast Image-Based Modeling of Astronomical Nebulae
| dc.contributor.author | Wenger, Stephan | en_US |
| dc.contributor.author | Lorenz, Dirk | en_US |
| dc.contributor.author | Magnor, Marcus | en_US |
| dc.contributor.editor | B. Levy, X. Tong, and K. Yin | en_US |
| dc.date.accessioned | 2015-02-28T16:10:47Z | |
| dc.date.available | 2015-02-28T16:10:47Z | |
| dc.date.issued | 2013 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/cgf.12216 | en_US |
| dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
| dc.subject | I.3.8 [Computer Graphics] | en_US |
| dc.subject | Applications | en_US |
| dc.subject | en_US | |
| dc.subject | J.2 [Computer Applications] | en_US |
| dc.subject | Physical Sciences and Engineering | en_US |
| dc.subject | Astronomy | en_US |
| dc.title | Fast Image-Based Modeling of Astronomical Nebulae | en_US |