Name
Abstract | ||
|---|---|---|
This paper describes an analysis performed for facial description in static images and video streams. The still image context is first analyzed in order to decide the optimal classifier configuration for each problem: gender recognition, race classification, and glasses and moustache presence. These results are later applied to significant samples which are automatically extracted in real-time from video streams achieving promising results in the facial description of 70 individuals by means of gender, race and the presence of glasses and moustache. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11492429_56 | IbPRIA (1) |
Keywords | Field | DocType |
facial description,video stream,significant sample,gender recognition,static image,promising result,optimal classifier configuration,moustache presence,image context,race classification,real time | Computer vision,Static image,Moustache,Pattern recognition,Computer science,Support vector machine,Image processing,Independent component analysis,Artificial intelligence,Classifier (linguistics) | Conference |
Volume | ISSN | ISBN |
3522 | 0302-9743 | 3-540-26153-2 |
Citations | PageRank | References |
2 | 0.42 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Modesto Castrillón-Santana | 1 | 41 | 5.14 |
| Javier Lorenzo-Navarro | 2 | 166 | 21.55 |
| Daniel Hernández-Sosa | 3 | 57 | 8.71 |
| Yeray Rodríguez-Domínguez | 4 | 2 | 0.42 |