Name
Abstract | ||
|---|---|---|
In many situations, it would be practical for a computer system user interface to have a model of where a person is looking and what the user is paying attention to. In this study, the authors describe a novel feature coding method for head pose estimation. The widely-used sparse coding (SC) method encodes a test sample using a sparse linear combination of training samples. However, it does not co... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-cvi.2015.0242 | IET Computer Vision |
Keywords | Field | DocType |
feature extraction,image coding,pose estimation,user interfaces | Kernel (linear algebra),Computer vision,Locality,Feature vector,Pattern recognition,Neural coding,Computer science,Sparse approximation,Robustness (computer science),Pose,Artificial intelligence,Kernel (statistics) | Journal |
Volume | Issue | ISSN |
10 | 8 | 1751-9632 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyunduk Kim | 1 | 49 | 10.91 |
| Myoung-Kyu Sohn | 2 | 33 | 7.17 |
| Dong-Ju Kim | 3 | 65 | 11.80 |
| Sang-Heon Lee | 4 | 105 | 22.48 |