scholarly journals Apparent Age Estimation System Based on Age Perception

10.5772/13946 ◽  
2011 ◽  
Author(s):  
Hironobu Fukai ◽  
Hironori Takimoto ◽  
Yasue Mitsukura ◽  
Minoru Fukumi
Keyword(s):  
Age Estimation ◽  
Age Perception ◽  
Estimation System ◽  
Apparent Age

Apparent age estimation system based on age perception

2007 ◽  
Author(s):  
Hironobu Fukai ◽  
Hironori Takimoto ◽  
Yasue Mitsukura ◽  
Minoru Fukumi
Keyword(s):  
Age Estimation ◽  
Age Perception ◽  
Estimation System ◽  
Apparent Age

A DESIGN OF APPARENT-AGE ESTIMATION SYSTEM BY THE EMPIRICAL MODE DECOMPOSITION

2009 ◽  
Vol 18 (08) ◽  
pp. 1481-1492 ◽  
Author(s):  
HIRONOBU FUKAI ◽  
HIRONORI TAKIMOTO ◽  
YASUE MITSUKURA ◽  
TOSHIHISA TANAKA ◽  
MINORU FUKUMI
Keyword(s):  
Neural Network ◽  
Frequency Analysis ◽  
Age Estimation ◽  
Frequency Resolution ◽  
Trade Off ◽  
Time Frequency ◽  
Mode Decomposition ◽  
Estimation System ◽  
Relationship Of ◽  
Apparent Age

Recently, the automation of the age estimation technique is hoped for in various fields. Therefore, we propose an apparent-age estimation system using empirical mode decomposition (EMD). Conventional study reported that the time-frequency features are important for age estimation. However, these cannot necessarily extract the time-frequency feature in detail, because the classical technique that have a relationship of trade-off between the time resolution and the frequency resolution are used. On the other hand, the EMD is the novel time-frequency analysis technique that do not have the relationship of trade-off between the time resolution and the frequency resolution. The EMD gives a time-frequency analysis decomposing a signal into several intrinsic mode functions (IMFs). The IMF together with their Hilbert transforms are called the Hilbert–Huang spectrum, which leads to instantaneous frequency and amplitude. We use these features effectively for extracting human's age perception. We estimate the age by a neural network that learns pairs of face image and the Hilbert–Huang spectrum. Furthermore, we compress the data for neural network by using the simple principal component analysis (SPCA). In order to show the effectiveness of the proposed method, computer simulations are done by the actual human data.

An apparent age estimation system using the evolutionary algorighm

2007 ◽  
Author(s):  
Hironobu Fukai ◽  
Hironori Takimoto ◽  
Yasue Mitsukura ◽  
Minoru Fukumi
Keyword(s):  
Age Estimation ◽  
Estimation System ◽  
Apparent Age

scholarly journals A Hierarchical Framework for Facial Age Estimation

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yuyu Liang ◽  
Xianmei Wang ◽  
Li Zhang ◽  
Zhiliang Wang
Keyword(s):  
Age Estimation ◽  
Nearest Neighbor ◽  
Mean Absolute Error ◽  
Absolute Error ◽  
Age Group ◽  
K Nearest Neighbor ◽  
Complex Issue ◽  
Ordinal Information ◽  
Hierarchical Framework ◽  
Estimation System

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.

scholarly journals Automatic Age Estimation System for Face Images

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
Keyword(s):  
Age Estimation ◽  
Face Images ◽  
Estimation System

scholarly journals Probabilistic Health Index-Based Apparent Age Estimation for Power Transformers

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 9692-9701 ◽  
Author(s):  
Shuaibing Li ◽  
Guangning Wu ◽  
Haiying Dong ◽  
Lei Yang ◽  
Xiaofei Zhen
Keyword(s):  
Age Estimation ◽  
Power Transformers ◽  
Health Index ◽  
Apparent Age

A Design of an Age Estimation System Using the SOM

2006 ◽  
Author(s):  
Hironobu Fukai ◽  
Yasue Mitsukura ◽  
Hironori Takimoto ◽  
Minoru Fukumi
Keyword(s):  
Age Estimation ◽  
Estimation System
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