以範例為基礎之人臉老化模擬

Abstract

本論文提出一個兩階段的人臉老化模擬演算法。我們使用基於主成分分析(Principal Component Analysis) 的統計方法與最大期望值方法(EM-Like) ，在子空間中計算出最適合目標人臉的老化臉型與老化皮膚。但由於維度的限制，此方法模擬出的老化皮膚相當的模糊，而且缺少皮膚細節。因此，我們另外建立了一個擁有高解析度與各種不同年齡的人臉皮膚資料庫，以區塊比對的方式，找到最適合目標人臉的老化皮膚，再使用區塊材質合成的技術，將各個老化皮膚區塊合成為一張臉部皮膚材質，最後使用皮膚材質轉移，將皮膚細節與皺紋轉移到目標人臉上。我們的實驗結果顯示我們提出的演算法可以模擬出合理且穩定的人臉老化效果。

In this thesis, we propose a two-stage method to simulate the aging process of a human face. We use EM-like algorithm and PCA-based data filling method to estimate the geometric and facial texture variation of a target face from subspace of aging patterns. Since the facial texture predicted by PCA-based method cannot preserve personalized details, we propose using a superimposing method. We establish a facial texture database with high resolution pictures, and synthesis the detailed wrinkles or creases by texture synthesis. Besides, we further analyze the parents' inheritable impact in the aging simulation. Our experiments show that the proposed example-based method is able to provide reasonable simulation of face aging.