Name
Abstract | ||
|---|---|---|
Segmentation of the hand from an image is a necessary step for many applications e.g. hand tracking, gesture recognition. One of the major problems is the hand-forearm segmentation. We propose mathematic model based on geometrical features of silhouette shape to address this problem. Then an accurate and effective approximation algorithm is proposed to obtain the solution of the model. Finally a complete hand segmentation algorithm is realized by using the Kinect sensor. The experiment result proves that our algorithm is accurate and fast. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CCIS.2012.6664322 | Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 |
Keywords | DocType | Volume |
approximation algorithm,hand-forearm segmentation algorithm,geometrical features,approximation theory,complete hand segmentation algorithm,hand-forearm segmentation,image segmentation,image sensors,feature extraction,mathematic model,hand tracking,silhouette shape,kinect sensor,gesture recognition | Conference | 2 |
Issue | ISSN | ISBN |
null | null | 978-1-4673-1855-6 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bosheng Wang | 1 | 0 | 0.34 |
| Jiaqi Xu | 2 | 106 | 9.50 |