隨著年齡的成長，人的外觀會有很大程度的改變。如何從一個人臉部照片中的外觀來準確地判斷出這個人的年齡，到現在仍然是一個不易解決的問題。在這篇論文中，我們將重點放在人臉照片上的年齡預測，試著從兩個部分來改善人臉照片年齡預測的準確度。首先，我們提出使用不明確標籤下的臉部特徵投影。我們在做人臉照片特徵投影時考慮年齡標籤的連續性，並從中擷取出更加具備代表性的年齡成長變化特徵。另外，我們結合現有的年齡回歸方法以及機率模型，並提出了貝氏年齡預測架構。在此架構下，我們可以輕易導入各種可以獲得的背景知識來強化年齡預測的可靠性。從本篇論文的實驗結果中可以觀察到，我們所提出的部明確標籤下的臉部特徵投影以及貝氏年齡預測架構的確能夠比其他現有的年齡預測方法更加準確地預測出人臉照片的年齡。

The appearance of human changes with age significantly. It is still a big challenge to estimate age from the appearance of facial images. In this work, we focus on the application of age estimation from face images. We try to improve the accuracy of age estimation from two ways. First, we propose facial feature projection from uncertain label. By considering the continuity of age labels in facial feature projection step, we extract better features to represent age characteristics. In addition, we propose Bayesian age estimation framework by combining probabilistic model and age regression. We can incorporate any extra information into the unified age estimation framework easily. From the experimental results, the proposed Bayesian age estimation using facial feature projection from uncertain label can perform better than other existing age estimation methods.

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