Previous studies indicate that performance of the face recognition system severely degrades under the ageing effect. Despite the rising attention to facial ageing, there exist no comparative evaluation of the existing systems under the impact of ageing. Moreover, the compound effect of ageing and other variate such as glasses, gender etc, that are known to influence the performance, remain overlooked till date. To this aim, the contribution of this work are as follows: 1) evaluation of six baseline facial representations, based on local features, under the ageing effect, and 2) analysis of the compound effect of ageing with other variates, i.e., race, gender, glasses, facial hair etc. © 2013 Springer-Verlag.
CITATION STYLE
Akhtar, Z., Rattani, A., Hadid, A., & Tistarelli, M. (2013). Face recognition under ageing effect: A comparative analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8157 LNCS, pp. 308–318). https://doi.org/10.1007/978-3-642-41184-7_32
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