Name
Abstract | ||
|---|---|---|
The motion capture technique is gathering more and more attention because of its powerful potential for providing life-like motions in computer graphics (CG) animation via sample-based motion creating techniques. Since motion data is multi-dimensional and spatio-temporal data that is difficult to edit as desired, an effective scheme for reusing captured motion sets to create new motion is advantageous. Reusing a motion data set requires effective browsing and extraction techniques that enable the user to look up and capture the relations among the motion contents in the motion data set. We propose a new framework for a motion editing tool by focusing on the connectivity between motions and utilizing it as a filter to extract the desired motion contents from a motion database. The proposed system uses a tree structure for expressing possible connective motion paths in the motion database. The motion connective tree can be a useful user interface to browse and select a motion scenario by exploring the existing motion data sets in the database. Our prototype system demonstrates an easy-to-understand interface to explore and quickly edit a motion data set by selecting icons of the motion tree nodes. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/DICTA.2008.67 | DICTA |
Keywords | Field | DocType |
spatio-temporal data extraction technique,motion connective tree,motion data,unorganized motion data set,visual databases,interactive motion browse,motion database,computer animation,computer graphics animation,spatiotemporal phenomena,existing motion data set,motion editing tool,interactive motion browsing,motion scenario,motion content,life-like motion,tree structure,sample-based motion creating technique,motion data set,motion capture technique,image motion analysis,user interface,distributed databases,databases,motion capture,computer graphic,graphical user interfaces | Structure from motion,Computer vision,Motion capture,Computer graphics (images),Computer science,Motion compensation,Artificial intelligence,Motion interpolation,Animation,Motion estimation,Match moving,Facial motion capture | Conference |
ISBN | Citations | PageRank |
978-0-7695-3456-5 | 0 | 0.34 |
References | Authors | |
5 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshihiro Yasumuro | 1 | 44 | 9.50 |
| Taku Shirazawa | 2 | 3 | 0.79 |
| Muneyuki Sakata | 3 | 2 | 3.10 |
| Masataka Imura | 4 | 85 | 18.80 |
| Yoshitsugu Manabe | 5 | 69 | 17.72 |
| Kunihiro Chihara | 6 | 172 | 28.83 |