A Design of Gender and Age Estimation System Based on Facial Knowledge

Author(s):  
Hironori Takimoto ◽  
Yasue Mitsukura ◽  
Minoru Fukumi ◽  
Norio Akamatsu
2007 ◽  
Vol 127 (7) ◽  
pp. 1022-1029 ◽  
Author(s):  
Hironori Takimoto ◽  
Yasue Mitsukura ◽  
Minoru Fukumi ◽  
Norio Akamatsu

Author(s):  
Hironobu Fukai ◽  
Hironori Takimoto ◽  
Yasue Mitsukura ◽  
Minoru Fukumi

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yuyu Liang ◽  
Xianmei Wang ◽  
Li Zhang ◽  
Zhiliang Wang

Age estimation is a complex issue of multiclassification or regression. To address the problems of uneven distribution of age database and ignorance of ordinal information, this paper shows a hierarchic age estimation system, comprising age group and specific age estimation. In our system, two novel classifiers, sequence k-nearest neighbor (SKNN) and ranking-KNN, are introduced to predict age group and value, respectively. Notably, ranking-KNN utilizes the ordinal information between samples in estimation process rather than regards samples as separate individuals. Tested on FG-NET database, our system achieves 4.97 evaluated by MAE (mean absolute error) for age estimation.


10.5772/52862 ◽  
2012 ◽  
Vol 9 (5) ◽  
pp. 216 ◽  
Author(s):  
Chin-Teng Lin ◽  
Dong-Lin Li ◽  
Jian-Hao Lai ◽  
Ming-Feng Han ◽  
Jyh-Yeong Chang

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