Name
Abstract | ||
|---|---|---|
In order that information included in the hand shape can be extracted for gesture communication aiming to the new technology of Human Computer Interaction, hand shape should be reliably extracted based on image sequences. In this paper a hand shape extraction approach is proposed. By using multiple cues such as motion and color information, embedded in image sequences, a set of complicated hand shapes which compromise a small dictionary of hand postures, can be reliably extracted within a rather sophisticated environment, In this paper the proposed shape extraction strategy is addressed and preliminary results are indicated to prove its effectiveness. |
Year | Venue | Keywords |
|---|---|---|
2000 | ICMI | gesture communication,multiple cues fusion technology,proposed shape extraction strategy,color information,multiple cue,image sequence,human computer interaction,complicated hand shape,hand shape extraction approach,hand posture,hand shape,hand shape extraction |
Field | DocType | Volume |
Computer vision,Gesture,Computer science,Human–computer interaction,Artificial intelligence,Computer graphics | Conference | 1948 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-41180-1 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xueyin Lin | 1 | 360 | 30.61 |
| Xiaoping Zhang | 2 | 27 | 6.83 |
| Haibing Ren | 3 | 69 | 8.32 |