Name
Abstract | ||
|---|---|---|
Exploring relations among different local methods for face alignment is a problem to be solved crucially. It is of significance for face recognition and face tracking. In this study, a general framework for local face alignment is presented. On this basis, three classical methods are described, i.e. method using structured support vector machine, that using regularised landmark mean-shift (RLMS), ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-cvi.2015.0287 | IET Computer Vision |
Keywords | Field | DocType |
face recognition,support vector machines,trees (mathematics) | Structured support vector machine,Computer vision,Facial recognition system,Pattern recognition,Computer science,Left eye,Artificial intelligence,Landmark,Facial motion capture | Journal |
Volume | Issue | ISSN |
10 | 7 | 1751-9632 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gang Zhang | 1 | 9 | 8.26 |
| Jiansheng Chen | 2 | 273 | 31.28 |
| Guangda Su | 3 | 133 | 20.68 |
| Chunhui Ou | 4 | 0 | 0.34 |