Name
Abstract | ||
|---|---|---|
This paper introduces the new idea of describing people using first names. We show that describing people in terms of similarity to a vector of possible first names is a powerful representation of facial appearance that can be used for a number of important applications, such as naming never-seen faces and building facial attribute classifiers. We build models for 100 common first names used in th... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TPAMI.2014.2302443 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Face,Training,Feature extraction,Vectors,Detectors,Support vector machine classification | Face verification,Computer vision,Facial recognition system,Pairwise comparison,Pattern recognition,Computer science,Data labeling,Feature extraction,Artificial intelligence,Biometrics,Classifier (linguistics),The Internet | Journal |
Volume | Issue | ISSN |
36 | 9 | 0162-8828 |
Citations | PageRank | References |
6 | 0.40 | 22 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huizhong Chen | 1 | 253 | 11.32 |
| andrew c gallagher | 2 | 720 | 32.17 |
| Bernd Girod | 3 | 8988 | 1062.96 |