A Method of Generating Cloud Images Using Density Contour Lines
Summary :
This paper describes an easy method of generating cloud images by using density contour lines. First, the operator inputs the density contour lines. Features of the contour lines are then extracted. Next, the form is reconstructed on the assumption that it is a homogeneous corpuscle layer of could. Finally, a cloud image is generated, using the reconstructed form and a light attenuation model. The burden on the operator is much lighter than in conventional methods, which use mathematical functions to define objects. Furthermore, the reconstructed shapes can be represented either as mountains or clouds, an important advantage for making a database of computer animation backgrounds. This is an extension of our previously reported method of reconstructing three-dimensional mountainous shapes.
- Publication
- IEICE TRANSACTIONS on transactions Vol.E72-E No.6 pp.763-770
- Publication Date
- 1989/06/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Image Processing, Computer Graphics and Pattern Recognition
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Kazunori MIYATA, "A Method of Generating Cloud Images Using Density Contour Lines" in IEICE TRANSACTIONS on transactions,
vol. E72-E, no. 6, pp. 763-770, June 1989, doi: .
Abstract: This paper describes an easy method of generating cloud images by using density contour lines. First, the operator inputs the density contour lines. Features of the contour lines are then extracted. Next, the form is reconstructed on the assumption that it is a homogeneous corpuscle layer of could. Finally, a cloud image is generated, using the reconstructed form and a light attenuation model. The burden on the operator is much lighter than in conventional methods, which use mathematical functions to define objects. Furthermore, the reconstructed shapes can be represented either as mountains or clouds, an important advantage for making a database of computer animation backgrounds. This is an extension of our previously reported method of reconstructing three-dimensional mountainous shapes.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e72-e_6_763/_p
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@ARTICLE{e72-e_6_763,
author={Kazunori MIYATA, },
journal={IEICE TRANSACTIONS on transactions},
title={A Method of Generating Cloud Images Using Density Contour Lines},
year={1989},
volume={E72-E},
number={6},
pages={763-770},
abstract={This paper describes an easy method of generating cloud images by using density contour lines. First, the operator inputs the density contour lines. Features of the contour lines are then extracted. Next, the form is reconstructed on the assumption that it is a homogeneous corpuscle layer of could. Finally, a cloud image is generated, using the reconstructed form and a light attenuation model. The burden on the operator is much lighter than in conventional methods, which use mathematical functions to define objects. Furthermore, the reconstructed shapes can be represented either as mountains or clouds, an important advantage for making a database of computer animation backgrounds. This is an extension of our previously reported method of reconstructing three-dimensional mountainous shapes.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - A Method of Generating Cloud Images Using Density Contour Lines
T2 - IEICE TRANSACTIONS on transactions
SP - 763
EP - 770
AU - Kazunori MIYATA
PY - 1989
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E72-E
IS - 6
JA - IEICE TRANSACTIONS on transactions
Y1 - June 1989
AB - This paper describes an easy method of generating cloud images by using density contour lines. First, the operator inputs the density contour lines. Features of the contour lines are then extracted. Next, the form is reconstructed on the assumption that it is a homogeneous corpuscle layer of could. Finally, a cloud image is generated, using the reconstructed form and a light attenuation model. The burden on the operator is much lighter than in conventional methods, which use mathematical functions to define objects. Furthermore, the reconstructed shapes can be represented either as mountains or clouds, an important advantage for making a database of computer animation backgrounds. This is an extension of our previously reported method of reconstructing three-dimensional mountainous shapes.
ER -
English
