AUTOMATIC FACIAL AGE ESTIMATION USING ADAPTIVE BRIGHTNESS EQUALIZATION AND BIOLOGICALLY INSPIRED FEATURES |
| 1 | |
| 2014 |
| scientific article | 004.932.2 | ||
| 273-279 | multi-agent system, simulation, heterogeneous information system, load balancing, server, open system |
| Biologically inspired features together with the ranking method are proposed to be used for automatic facial age es- timation. Geometric and brightness normalization methods are considered to secure the estimation sustainability. The average estimation error of 4.1 years was obtained on the standard FG-NET database that demonstrates the superiority of the proposed approach over the best known methods. |
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