@inproceedings{ef904939865d4d67855cc80d4087d229,
title = "Estimating cumulus cloud shape from a single image",
abstract = "Cumulus cloud is a typical kind of low-altitude cloud and bears detailed appearance. However, construct a cumulus cloud shape from image remains a challenging task. In previous works, cloud thickness is first calculated from intensities of the pixels and then cloud surface shape is obtained based on symmetry assumption. Given an image, an optimization problem is formulated based on the shape from shading(SFS) algorithm with unknown illumination. This paper addresses this problem and presents a simple and effective method which estimates the surface shape directly by leveraging the rich details of the cloud surface. In this paper, we propose two constraints: the boundary constraint and relative height constraint. Meanwhile, a multi-scale optimization technique is utilized and then back surface of the cloud is constructed. The experimental results show that our method can generate natural and realistic cumulus cloud shape with details like the image.",
keywords = "Boundary constraint, Cumulus cloud shape, Natural image, Shape from shading",
author = "Yiming Zhang and Zili Zhang and Jiayue Hou and Xiaohui Liang",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 12th Chinese conference on Advances in Image and Graphics Technologies, IGTA 2017 ; Conference date: 30-06-2017 Through 01-07-2017",
year = "2018",
doi = "10.1007/978-981-10-7389-2\_15",
language = "英语",
isbn = "9789811073885",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "147--156",
editor = "Xiaoru Yuan and Duh, \{Henry Been-Lirn\} and Yongtian Wang and Yue Liu and Jian Yang and Shengjin Wang and Ran He",
booktitle = "Advances in Image and Graphics Technologies - 12th Chinese conference, IGTA 2017, Revised Selected Papers",
address = "德国",
}