Name
Abstract | ||
|---|---|---|
In most motion editing approaches, the users often make changes on mocap data by specifying numerical parameters. However, it is not intuitive for a novice to edit motion sequences in motion planning tasks. In this paper, we present a method of notation-based motion editing, in which Labanotation .. a well-developed notation language for human movements, is employed as the editing interface. It allows the user to specify the editing requirements via notation score, and the system will semi-automatically generate the desired motion data. The algorithmic steps of its pipeline and the core issues of converting Labanotation into motion sequences are discussed in detail. We show the results of our systems using martial arts motion as its testing data. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/CAD-CG.2005.58 | CAD/Graphics |
Keywords | Field | DocType |
motion planning,martial art,computer animation | Motion planning,Computer vision,Notation,Computer graphics (images),Computer science,Labanotation,Martial arts,Artificial intelligence,Data editing,Test data,Motion interpolation,Computer animation | Conference |
Volume | Issue | ISBN |
2005 | null | 0-7695-2473-7 |
Citations | PageRank | References |
4 | 0.57 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| XiaoJie Shen | 1 | 27 | 2.07 |
| Qilei Li | 2 | 44 | 5.04 |
| Tao Yu | 3 | 4 | 0.57 |
| Weidong Geng | 4 | 162 | 21.81 |
| Newman Lau | 5 | 4 | 1.58 |