Name
Abstract | ||
|---|---|---|
The real-time computer graphics rendering processes embody complex state transitions and fast dynamics amidst observable steady state behavior. This paper presents a systematic framework by which control principles are introduced for tracking control of the rendering processes. The control theoretic approach surpasses existing heuristics and algorithms which are essentially open-loop estimations. Furthermore, both the data-driven methodology and linguistic based control strategy proposed in this paper circumvents technical difficulties posed by rapid advancement in current graphics hardware and software architectures. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICCA.2011.6138101 | Control and Automation |
Keywords | Field | DocType |
control theory,rendering (computer graphics),tracking,control theoretic approach,graphics hardware,interactive computer graphics rendering process,open-loop estimations,real-time computer graphics rendering process,software architecture,steady state behavior,systematic framework,tracking control,Computer Graphics Software,Interaction techniques,Modeling Techniques,Rendering (Computer Graphics) | Parallel rendering,Computer graphics (images),Graphics hardware,Computer science,Alternate frame rendering,Control engineering,Process control,Software rendering,Image-based modeling and rendering,Rendering (computer graphics),Computer engineering,Computer graphics | Conference |
ISSN | ISBN | Citations |
1948-3449 | 978-1-4577-1475-7 | 0 |
PageRank | References | Authors |
0.34 | 10 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriyel Wong | 1 | 1 | 0.69 |
| Jianliang Wang | 2 | 3 | 1.90 |