Abstract | ||
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High performance for face recognition systems occurs in controlled environments and degrades with variations in illumination, facial expression, and pose. Efforts have been made to explore alternate face modalities such as infrared (IR) and 3-D for face recognition. Studies also demonstrate that fusion of multiple face modalities improve performance as compared with singlemodal face recognition. T... |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/THMS.2014.2340578 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Face recognition,Databases,Deformable models,Lighting,Infrared imaging | Modalities,Computer vision,Facial recognition system,Face hallucination,Three-dimensional face recognition,Computer science,Speech recognition,Facial expression,Artificial intelligence,Face detection,Machine learning | Journal |
Volume | Issue | ISSN |
44 | 6 | 2168-2291 |
Citations | PageRank | References |
16 | 0.58 | 97 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hailing Zhou | 1 | 121 | 12.89 |
Ajmal Mian | 2 | 58 | 7.53 |
Lei Wei | 3 | 25 | 2.87 |
Douglas C. Creighton | 4 | 16 | 0.58 |
Mohammed Hossny | 5 | 66 | 16.47 |
Saeid Nahavandi | 6 | 1545 | 219.71 |