Qing Tian1,2,3,*, Meng Cao1,2, Tinghuai Ma1,2
CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 467-482, 2018, DOI: 10.3970/cmc.2018.02197
Abstract The research of human facial age estimation (AE) has attracted increasing attention for its wide applications. Up to date, a number of models have been constructed or employed to perform AE. Although the goal of AE can be achieved by either classification or regression, the latter based methods generally yield more promising results because the continuity and gradualness of human aging can naturally be preserved in age regression. However, the neighbor-similarity and ordinality of age labels are not taken into account yet. To overcome this issue, the cumulative attribute (CA) coding was introduced. Although such age label relationships can be… More >
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