Name
Title | ||
|---|---|---|
Enhanced hand part classification from a single depth image using random decision forests. |
Abstract | ||
|---|---|---|
Hand pose recognition has received increasing attention in an area of human-computer interaction. With the recent spread of many low-cost three-dimensional (3D) cameras, research into understanding more natural gestures has increased. In this study, the authors present a method for hand part classification and joint estimation from a single depth image. They apply random decision forests (RDFs) fo... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-cvi.2015.0239 | IET Computer Vision |
Keywords | Field | DocType |
feature extraction,gesture recognition,image classification,palmprint recognition,pose estimation,trees (mathematics) | Computer vision,Mesh model,Pattern recognition,Computer science,Gesture,Selection algorithm,Feature extraction,Artificial intelligence,Pixel,Test data,RDF Schema,RDF | Journal |
Volume | Issue | ISSN |
10 | 8 | 1751-9632 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Myoung-Kyu Sohn | 1 | 33 | 7.17 |
| Sang-Heon Lee | 2 | 105 | 22.48 |
| Hyunduk Kim | 3 | 49 | 10.91 |
| Hyeyoung Park | 4 | 194 | 32.70 |