個人化產品為現今消費趨勢，與顏面相關產品的設計，需考量個別臉部幾何與尺寸的差異。本研究使用非接觸式量測技術，取得大量國內年輕女性顏面三維資料，透過修補、移除雜訊與裁剪邊緣等後處理，產生對應的三維網格。接著進行特徵點選擇與標記，透過交叉參數化方法，得到點數與連接方式相同的模型，再根據網格失真評估結果，進行局部調整改善其品質。此外使用主成份分析法降低資料維度，選擇適當臉部尺寸作為參數，以線性廻歸與Kriging方法建構顏面參數化模型，透過十折交叉驗證分析比較兩者的誤差，並探討資料分群對於參數化模型的影響。於實際應用方面，透過材質貼圖的擬真效果，顯示產生的參數化模型，可做為高互動性的個人化設計依據。基於本研究結果，可提供顏面相關產品新穎之設計模式，實現大量個人化的概念。

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