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

被引:154
作者
Panis, Gabriel [1 ]
Lanitis, Andreas [1 ]
Tsapatsoulis, Nicholas [2 ]
Cootes, Timothy F. [3 ]
机构
[1] Cyprus Univ Technol, Dept Multimedia & Graph Arts, Visual Media Comp Lab, CY-3036 Limassol, Cyprus
[2] Cyprus Univ Technol, Dept Commun & Internet Studies, CY-3036 Limassol, Cyprus
[3] Univ Manchester, Human & Med Sci, Imaging Sci & Biomed Imaging Inst, Manchester M13 9PT, Lancs, England
基金
欧盟地平线“2020”;
关键词
visual databases; face recognition; gesture recognition; age issues; facial ageing; face-and-gesture recognition network ageing database; FG-NET ageing database; age estimation; age-invariant face recognition; age progression; thematic areas; facial appearance; AGE ESTIMATION; FACE VERIFICATION; APPEARANCE; RECOGNITION; PROGRESSION; PREDICTION; SIMULATION; SPACE; SHAPE;
D O I
10.1049/iet-bmt.2014.0053
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:37 / 46
页数:10
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