Modeling Detailed Cloud Scene from Multi-source Images

Cen, Yunchi; Liang, Xiaohui; Chen, Junping; Yang, Bailin; Li, Frederick W.B.

doi:10.2312/pg.20181278

Modeling Detailed Cloud Scene from Multi-source Images

Cen, Yunchi; Liang, Xiaohui; Chen, Junping; Yang, Bailin; Li, Frederick W.B.

Authors

Yunchi Cen

Xiaohui Liang

Junping Chen

Bailin Yang

Dr Frederick Li frederick.li@durham.ac.uk
Associate Professor

Contributors

Hongbo Fu
Editor

Abhijeet Ghosh
Editor

Johannes Kopf
Editor

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.

Citation

Cen, Y., Liang, X., Chen, J., Yang, B., & Li, F. W. (2018). Modeling Detailed Cloud Scene from Multi-source Images. In H. Fu, A. Ghosh, & J. Kopf (Eds.), Pacific graphics short papers, (49-52). https://doi.org/10.2312/pg.20181278

Conference Name	Pacific Graphics
Conference Location	Hong Kong
Acceptance Date	Aug 3, 2018
Online Publication Date	Oct 8, 2018
Publication Date	Oct 8, 2018
Deposit Date	Oct 30, 2019
Pages	49-52
Book Title	Pacific graphics short papers,
DOI	https://doi.org/10.2312/pg.20181278
Public URL	https://durham-repository.worktribe.com/output/1143057
Related Public URLs	https://diglib.eg.org/handle/10.2312/pg20181278