Name
Abstract | ||
|---|---|---|
•Facial asymmetry based approach is proposed to classify age-separated face images.•Facial asymmetry is measured and evaluated across temporal variations.•A 3 D matching-scores space is built using holistic, local and asymmetric features.•SVM is used as classifier to separate genuine and imposter classes in score space.•Results show better performance of proposed approach compared to existing methods. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.compeleceng.2016.01.001 | Computers & Electrical Engineering |
Keywords | Field | DocType |
Facial asymmetry,Temporal variations,Matching-score space,Holistic features,Densely sampled asymmetric features,Local features | Computer vision,Face hallucination,Three-dimensional face recognition,Pattern recognition,Computer science,Support vector machine,Local binary patterns,Facial symmetry,Artificial intelligence,Classifier (linguistics),Asymmetry,Principal component analysis | Journal |
Volume | Issue | ISSN |
54 | C | 0045-7906 |
Citations | PageRank | References |
4 | 0.45 | 14 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Sajid | 1 | 9 | 1.20 |
| Imtiaz Ahmad Taj | 2 | 20 | 1.75 |
| Usama Ijaz Bajwa | 3 | 13 | 5.04 |
| Naeem Iqbal Ratyal | 4 | 9 | 1.87 |
| TajImtiaz Ahmad | 5 | 9 | 0.86 |
| BajwaUsama Ijaz | 6 | 9 | 0.86 |
| RatyalNaeem Iqbal | 7 | 9 | 0.86 |