Name
Abstract | ||
|---|---|---|
Here, we propose a new 3D representation designed in the objective of face recognition independently of the expressions. It is defined on localities presenting limited deformations following expression variations. The proposed representation is based on the multipolar parameterization that we recently introduced in Jribi et al. (2019) which is relative invariant under three dimensional Euclidean transformations and robust to the original mesh. A choice of the number of reference points of each multipolar parameterization is made according to the shape of the two types of region of the face namely those of nose and the eyes. The main curvature field is estimated on the parameterizations of each region. The parameters of dimensional reduction algorithms applied to the overall description are adjusted so that the recognition rates remain efficient. The experiments are carried out on three challenging 3D face databases: the FRGC v2.0, the BU-3DFE and Bosphorus. Very high rates are obtained for both identification and verification scenarios. These results are very competitive with state of the art methods. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.image.2021.116464 | SIGNAL PROCESSING-IMAGE COMMUNICATION |
Keywords | DocType | Volume |
Multipolar, Description, Invariance, Parameterization, 3D face, Mesh | Journal | 99 |
ISSN | Citations | PageRank |
0923-5965 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Majdi Jribi | 1 | 2 | 3.42 |
| Soumaya Mathlouthi | 2 | 0 | 0.34 |
| Faouzi Ghorbel | 3 | 361 | 46.48 |