Facial Age Estimation by Adaptive Label Distribution Learning

  title={Facial Age Estimation by Adaptive Label Distribution Learning},
  author={Xin Geng and Qin Wang and Yu Xia},
  journal={2014 22nd International Conference on Pattern Recognition},
Lack of sufficient and complete training data is one of the most prominent challenges in the problem of facial age estimation. Due to appearance similarity of the faces at close ages, the face images at the neighboring ages may be utilized while learning a particular age. As a result, the training images for each age are boosted without actually increase the total number of training images. This is achieved by assigning a label distribution instead of a single label of the chronological age to… CONTINUE READING
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