access icon free Overview of research on facial ageing using the FG-NET ageing database

The face and gesture recognition network (FG-NET) ageing database was released in 2004 in an attempt to support research activities aimed at understanding the changes in facial appearance caused by ageing. Since then the database was used for carrying out research in various disciplines including age estimation, age-invariant face recognition and age progression. On the basis of the analysis of published work where the FG-NET ageing database was used, conclusions related to the type of research carried out in relation to the impact of the dataset in shaping up the research topic of facial ageing are presented. This study also includes a review of key articles from different thematic areas, where the FG-NET ageing database was used and the presentation of benchmark results. The ultimate aims of this study are to present concrete facts related to research activities in facial ageing during the past decade, provide an indication of the main methodologies adopted, present a comprehensive list of benchmark results and most importantly provide roadmaps for future trends, requirements and research directions in facial ageing.

Inspec keywords: face recognition; gesture recognition; age issues; visual databases

Other keywords: face-and-gesture recognition network ageing database; age progression; age estimation; thematic areas; age-invariant face recognition; FG-NET ageing database; facial appearance; facial ageing

Subjects: Image recognition; Computer vision and image processing techniques; Economic, social and political aspects of computing; Spatial and pictorial databases

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