Name
Abstract | ||
|---|---|---|
•An extensive survey collecting more than 60 new methods on the HPE.•Methods are divided by the input, RGBs, depth images, and videos.•Sensors and datasets used in this field are discussed in pros and cons.•Fields of applications of HPE are discussed, together with emerging applications.•A highlight about differences between learning and learning-free techniques. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.patcog.2022.108591 | Pattern Recognition |
Keywords | DocType | Volume |
Biometrics,Head pose estimation,Face recognition,Frontalization | Journal | 127 |
ISSN | Citations | PageRank |
0031-3203 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrea Francesco Abate | 1 | 458 | 34.51 |
| Carmen Bisogni | 2 | 3 | 3.14 |
| Aniello Castiglione | 3 | 1206 | 93.97 |
| M. Nappi | 4 | 947 | 85.18 |