Name
Abstract | ||
|---|---|---|
In this paper, we introduce a real-time face recognition (and announcement) system targeted at aiding the blind and low-vision people. The system uses a Microsoft Kinect sensor as a wearable device, performs face detection, and uses temporal coherence along with a simple biometric procedure to generate a sound associated with the identified person, virtualized at his/her estimated 3-D location. Ou... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/THMS.2016.2604367 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Face recognition,Face,Real-time systems,Hardware,Prototypes,Cameras,Videos | Computer vision,Facial recognition system,Histogram,User experience design,Three-dimensional face recognition,Computer science,Wearable computer,Artificial intelligence,Biometrics,Face detection,Machine learning,Principal component analysis | Journal |
Volume | Issue | ISSN |
47 | 1 | 2168-2291 |
Citations | PageRank | References |
7 | 0.54 | 55 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laurindo de Sousa Britto Neto | 1 | 16 | 2.08 |
| Felipe Grijalva | 2 | 19 | 2.31 |
| Vanessa Regina Margareth Lima Maike | 3 | 19 | 4.51 |
| Luiz Martini | 4 | 14 | 1.87 |
| Dinei A. F. Florêncio | 5 | 1118 | 78.52 |
| Maria Cecília Calani Baranauskas | 6 | 339 | 63.84 |
| Anderson Rocha | 7 | 913 | 69.11 |
| Siome Goldenstein | 8 | 618 | 47.43 |