Name
Abstract | ||
|---|---|---|
Declarative approaches to camera control model inputs as properties on the camera and then rely on constraint-based and/or optimization techniques to compute the camera parameters or paths that best satisfy those properties. To reach acceptable performances, such approaches often (if not always) compute properties satisfaction in an approximate way. Therefore, it is difficult to measure results in terms of accuracy, and also compare approaches that use different approximations. In this paper, we propose a simple language which can be used to express most of the properties proposed in the literature and whose semantics provide a way to accurately measure their satisfaction. The language can be used for several purposes, for example to measure how accurate a specific approach is and to compare two distinct approaches in terms of accuracy. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13544-6_9 | Smart Graphics |
Keywords | Field | DocType |
specific approach,optimization technique,camera parameter,properties satisfaction,virtual camera control,visual property,camera control model input,declarative approach,distinct approach,different approximation,acceptable performance,simple language,satisfiability | Computer vision,Virtual camera,Computer science,Artificial intelligence,Camera control,Semantics | Conference |
Volume | ISSN | ISBN |
6133 | 0302-9743 | 3-642-13543-9 |
Citations | PageRank | References |
8 | 0.66 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Ranon | 1 | 392 | 33.19 |
| Marc Christie | 2 | 316 | 24.38 |
| Tommaso Urli | 3 | 79 | 8.66 |