Name
Abstract | ||
|---|---|---|
For interactive augmented reality, vision-based and hand-gesture-based interface are most desirable due to being natural and human-friendly. However, detecting hands and recognizing hand gestures in cluttered background are still challenging. Especially, if the background includes a large skin-colored region, the problem becomes more difficult. In this paper, we focus on detecting a hand reliably and propose an effective method. Our method is basically based on the assumption that a hand-forearm region (including a hand and part of a forearm) has different brightness from other skin-colored regions. Specifically, we first segment the hand-forearm region from other skin-colored regions based on the brightness difference which is represented by edges in this paper. Then, we extract the hand region from the hand-forearm region by detecting a feature point which indicates the wrist. Finally, we extract the hand by using the brightness-based segmentation which is slightly different from the hand-forearm region detection. We verify the effectiveness of our method by implementing a simple hand gesture interface based on our method and applying it to augmented reality applications. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1670252.1670324 | VRCAI |
Keywords | Field | DocType |
brightness difference,hand-forearm region,effective method,large skin-colored region,skin-colored region,hand-forearm region detection,hand region,simple hand gesture interface,augmented reality interface,hand gesture,augmented reality application,robust hand detection,augmented reality | Computer vision,Effective method,Computer science,Gesture,Segmentation,Augmented reality,Hand region,Artificial intelligence,Region detection,Brightness | Conference |
Citations | PageRank | References |
6 | 0.46 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junyeong Choi | 1 | 37 | 4.03 |
| Byung-Kuk Seo | 2 | 102 | 10.68 |
| Jong-Il Park | 3 | 465 | 67.34 |