Name
Abstract | ||
|---|---|---|
The aim of the work presented in this paper was to develop a set of algorithms for face biometric identification based on the three dimensional face model. To fulfill this goal, the face segmentation and extraction of face features were performed. The result of the segmentation was a set of landmarks used then by the extraction process to produce the individual face features for each studied face. Those values have been obtained by the developed algorithms, calculating vector distances and triangle areas. Next, those individual features were compared among the entire database to produce the Detection Error Tradeoff (DET) curves. Based on these results, the appropriate conclusions were formulated. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/MIXDES.2014.6872255 | MIXDES |
Keywords | Field | DocType |
biometrics (access control),face recognition,feature extraction,image segmentation,solid modelling,3d face geometry analysis,det curves,detection error tradeoff curves,face biometric identification,face features extraction,face segmentation,three dimensional face model,triangle areas,vector distances,biometrics,face identification | Computer vision,Pattern recognition,Object-class detection,Three-dimensional face recognition,Segmentation,Computer science,Artificial intelligence,Face detection,Biometrics,Face (geometry) | Conference |
Citations | PageRank | References |
1 | 0.36 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Napieralski, J.A. | 1 | 1 | 0.36 |
| Pastuszka, M.M. | 2 | 1 | 0.36 |
| W. Sankowski | 3 | 62 | 4.11 |