The invention discloses a human face identification method based on a density self-adaptive human face representation model. The method comprises two aspects. One of the two aspects is a training stage of the human face representation model; due to the noticing of density difference of human face data in a feature space, a more effective human face characteristic representation is learned throughlearning of the density self-adaptive human face representation model, so that the influence caused by different densities of the human face data can be adapted. The other of the two aspects is a usestage of performing human face identification by using the density self-adaptive human face representation model; and a density self-adaptive threshold value is determined through density informationduring use of the human face representation model to perform judgment of the human face identification. Through the methods, the deep human face representation model can be used for self-adaptively mining characteristics of the data under different scenes and conditions, so that more effective characteristics can be extracted; and meanwhile, the judgment process is more reasonable, so that the accuracy of the human face identification can be improved.
Human face identification method based on density self-adaptive human face representation model