Name
Abstract | ||
|---|---|---|
We present a novel method for localizing faces in person identification scenarios. Such scenarios involve high resolution images of frontal faces. The proposed algorithm does not require color, copes well in cluttered backgrounds, and accurately localizes faces including eye centers. An extensive analysis and a performance evaluation on the XM2VTS database and on the realistic BioID and BANCA face databases is presented. We show that the algorithm has precision superior to reference methods. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TPAMI.2005.179 | Pattern Analysis and Machine Intelligence, IEEE Transactions |
Keywords | Field | DocType |
face recognition,feature extraction,image resolution,visual databases,BANCA face databases,XM2VTS database,eye centers,face authentication,face localization,feature-based affine-invariant localization,frontal faces,high resolution images,person identification scenarios,realistic BioID,Index Terms- Face localization,face authentication. | Computer vision,Facial recognition system,Authentication,Pattern recognition,Computer science,Feature extraction,Affine invariant,Artificial intelligence,Feature based,Computer graphics,Image resolution | Journal |
Volume | Issue | ISSN |
27 | 9 | 0162-8828 |
Citations | PageRank | References |
59 | 2.73 | 25 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Hamouz | 1 | 288 | 19.11 |
| J. Kittler | 2 | 14346 | 1465.03 |
| Joni-Kristian Kämäräinen | 3 | 203 | 12.72 |
| P. Paalanen | 4 | 96 | 6.39 |
| Heikki Kälviäinen | 5 | 59 | 2.73 |
| Jiri Matas | 6 | 335 | 35.85 |