Cost-Sensitive Local Binary Feature Learning for Facial Age Estimation
IEEE Transactions on Image Processing(2015)
摘要
In this paper, we propose a cost-sensitive local binary feature learning (CS-LBFL) method for facial age estimation. Unlike the conventional facial age estimation methods that employ hand-crafted descriptors or holistically learned descriptors for feature representation, our CS-LBFL method learns discriminative local features directly from raw pixels for face representation. Motivated by the fact ...
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关键词
Face,Feature extraction,Estimation,Binary codes,Learning systems,Training,Robustness
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