Name
Abstract | ||
|---|---|---|
In this paper, we present a near infrared (NIR) image based face recognition system. Firstly, we describe a design of NIR image capture device which minimizes influence of environmental lighting on face images. Both face and facial feature localization and face recognition are performed using local features with AdaBoost learning. An evaluation in real-world user scenario shows that the system achieves excellent accuracy, speed and usability. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/FGR.2006.13 | FG |
Keywords | Field | DocType |
face image,adaboost learning,face recognition,face recognition system,facial feature localization,near-infrared image,excellent accuracy,real-world user scenario,environmental lighting,local feature,nir image capture device,lighting,near infrared,feature extraction,image recognition,face detection | Computer vision,Facial recognition system,Face hallucination,AdaBoost,Pattern recognition,Three-dimensional face recognition,Computer science,Usability,Feature extraction,Scenario,Artificial intelligence,Face detection | Conference |
Volume | Issue | ISSN |
2006 | null | null |
ISBN | Citations | PageRank |
0-7695-2503-2 | 16 | 1.12 |
References | Authors | |
16 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stan Z. Li | 1 | 8951 | 535.26 |
| Lun Zhang | 2 | 635 | 28.46 |
| Shengcai Liao | 3 | 2582 | 98.34 |
| Xiangxin Zhu | 4 | 403 | 27.64 |
| Rufeng Chu | 5 | 560 | 27.44 |
| Meng Ao | 6 | 74 | 7.24 |
| Ran He | 7 | 1790 | 108.39 |