本篇論文對X. Geng et al. 所提的人臉影像重建與年齡估計方法加以改進與解決其潛在的一些問題。對於訓練樣本中每一aging pattern中的遺失影像，以結合內插影像與該年齡的平均影像之加權平均結果來填補，填補後的結果稱之為 “全填滿年齡變化模式” (full-filled aging pattern)。相對於X. Geng et al. 使用PCA，本篇論文利用2DPCA訓練求得一個轉換矩陣，用來重建aging pattern中的遺失影像與估計人臉影像之年齡。在實驗中我們試不同年齡間距與不同長度之aging patterns訓練轉換矩陣，探討不同的因素如何影響測試結果。 This paper proposes an age estimation method that improves the method proposed by Xin Geng et al. in some respects: (1). Time efficiency is improved by using 2DPCA instead of PCA. (2). To solve the problem of having infinitely many solutions inherent in the system for solving the projection vectors, we modified the coefficient matrix of the system so the unique solution can be easily evaluated. (3). The proposed method was tested in several fashions to analyze possible factors that cause some problems.
