Name
Abstract | ||
|---|---|---|
In order to deal with facial occlusion effectively, the authors propose a powerful but simple face representation method, called adaptive Weberfaces (AdapWeber), based on human visual perception change model and the Weber ratio R implied in Weber's law. Specifically, human perception is naturally highly selective and robust to occlusions, and the Weber ratio R is very important to enhance feature ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1049/iet-ipr.2017.0365 | IET Image Processing |
Keywords | Field | DocType |
face recognition,feature extraction,image representation,visual perception | Kernel (linear algebra),Locality,Occlusion,Pattern recognition,Three-dimensional face recognition,Feature extraction,Redundancy (engineering),Artificial intelligence,Face detection,Perception,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 11 | 1751-9659 |
Citations | PageRank | References |
1 | 0.35 | 40 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao-Xin Li | 1 | 8 | 2.80 |
| Lin He | 2 | 53 | 4.12 |
| Pengyi Hao | 3 | 6 | 2.11 |
| Zhiyong Liu | 4 | 2 | 1.76 |
| jingjing li | 5 | 41 | 8.67 |