Modeling Detailed Cloud Scene from Multi-source Images
| dc.contributor.author | Cen, Yunchi | en_US |
| dc.contributor.author | Liang, Xiaohui | en_US |
| dc.contributor.author | Chen, Junping | en_US |
| dc.contributor.author | Yang, Bailin | en_US |
| dc.contributor.author | Li, Frederick W. B. | en_US |
| dc.contributor.editor | Fu, Hongbo and Ghosh, Abhijeet and Kopf, Johannes | en_US |
| dc.date.accessioned | 2018-10-07T14:32:09Z | |
| dc.date.available | 2018-10-07T14:32:09Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | Realistic cloud is essential for enhancing the quality of computer graphics applications, such as flight simulation. Data-driven method is an effective way in cloud modeling, but existing methods typically only utilize one data source as input. For example, natural images are usually used to model small-scale cloud with details, and satellite images and WRF data are used to model large scale cloud without details. To construct large-scale cloud scene with details, we propose a novel method to extract relevant cloud information from both satellite and natural images. Experiments show our method can produce more detailed cloud scene comparing with existing methods. | en_US |
| dc.description.sectionheaders | 3D Modeling | |
| dc.description.seriesinformation | Pacific Graphics Short Papers | |
| dc.identifier.doi | 10.2312/pg.20181278 | |
| dc.identifier.isbn | 978-3-03868-073-4 | |
| dc.identifier.pages | 49-52 | |
| dc.identifier.uri | https://doi.org/10.2312/pg.20181278 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/pg20181278 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Computing methodologies | |
| dc.subject | Modeling methodologies | |
| dc.subject | Shape modeling | |
| dc.title | Modeling Detailed Cloud Scene from Multi-source Images | en_US |