Demo Data from EDBT 2026 / reviewers in the wild / expert
Katsutoshi Kusumoto
dblp:71/5548
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Computer animation and physical simulation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation › natural phenomena simulation
cloud simulation |
0.1 | 1 | 2008 | Feedback control of cumuliform cloud formation based on computational fluid dynamics · ACM Trans. Graph. 2008 |
Computer animation and physical simulation
fluid simulation |
0.0 | 1 | 2008 | Feedback control of cumuliform cloud formation based on computational fluid dynamics · ACM Trans. Graph. 2008 |
Methods — techniques the papers use, named apart from their topics
feedback control · 0.1computational fluid dynamics · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Feedback control of cumuliform cloud formation based on computational fluid dynamicsabstractClouds play an important role for creating realistic images of outdoor scenes. In order to generate realistic clouds, many methods have been developed for modeling and animating clouds. One of the most effective approaches for synthesizing realistic clouds is to simulate cloud formation processes based on the atmospheric fluid dynamics. Although this approach can create realistic clouds, the resulting shapes and motion depend on many simulation parameters and the initial status. Therefore, it is very difficult to adjust those parameters so that the clouds form the desired shapes. This paper addresses this problem and presents a method for controlling the simulation of cloud formation. In this paper, we focus on controlling cumuliform cloud formation. The user specifies the overall shape of the clouds. Then, our method automatically adjusts parameters during the simulation in order to generate clouds forming the specified shape. Our method can generate realistic clouds while their shapes closely match to the desired shape. Yoshinori Dobashi, Katsutoshi Kusumoto, Tomoyuki Nishita, Tsuyoshi Yamamoto |
ACM Trans. Graph. | 2 |