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A review of face recognition algorithms and their application in age estimation
Last modified: 2011-10-03
Abstract
Age estimation of humans is one of the problems in the field of computer
vision which is insufficiently researched. To efficiently estimate the age
of an individual based on his/her face image, characteristic points of
the face have to be determined. In this paper, the most common face
recognition algorithms, like Principal Component Analysis (PCA),
Independent Component Analysis (ICA), Linear Discriminant Analysis (LDA)
and Elastic Bunch Graph Matching (EBGM) will be described. These
algoritms will then be compared, and the application in age estimation
will be given. At the end of the paper, ideas for future research will be
stated.
vision which is insufficiently researched. To efficiently estimate the age
of an individual based on his/her face image, characteristic points of
the face have to be determined. In this paper, the most common face
recognition algorithms, like Principal Component Analysis (PCA),
Independent Component Analysis (ICA), Linear Discriminant Analysis (LDA)
and Elastic Bunch Graph Matching (EBGM) will be described. These
algoritms will then be compared, and the application in age estimation
will be given. At the end of the paper, ideas for future research will be
stated.
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