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Durham Research Online
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Modeling detailed cloud scene from multi-source images.

Cen, Yunchi and Liang, Xiaohui and Chen, Junping and Yang, Bailin and Li, Frederick W. B. (2018) 'Modeling detailed cloud scene from multi-source images.', in Pacific graphics short papers,. , pp. 49-52.

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.

Item Type:Book chapter
Full text:Publisher-imposed embargo
(AM) Accepted Manuscript
File format - PDF
(3025Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.2312/pg.20181278
Date accepted:03 August 2018
Date deposited:30 October 2019
Date of first online publication:08 October 2018
Date first made open access:No date available

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