輪廓法人體計測，顧名思義，即是利用人體照片取得輪廓來計算人體平面的特徵寬度、長度、高度的搜尋，以重建三維人體模型，並得相片中人以皮尺量身的數據。
本研究提出如何由兩張相片重構三維人體模型技術，由一般數位相機取得的人體正面與側面相片資訊，可重構出近似相片主角的三維數位人體。本研究針對於人體各特徵建立二維人體計測學定義，產生相關數學公式，據此可自動搜尋正側面影像輪廓上的人體特徵點與特徵長度、寬度，使得重構的三維數位人體模型完整保存二維輪廓特徵，並產生合理之三維結果。在評估變形結果方面，除了計算重要特徵圍之截面積與測地量外，更計算變形後數位人體與結構化人體對應點之間的距離，分別取RMS誤差、平均誤差、最大與最小誤差做為量化的評估數據，而變形結果於各特徵圍的RMS誤差均小於2.54cm。

Contour measurement of anthropometry, in terms of, the length and width measurements on the photos of human body. The research presented in this paper is to develop a methodology of 3D virtual human modeling from frontal and lateral photographs of a human body. In this study, we define several mathematic models for feature dimensions on both the frontal and lateral contours corresponding to human morphology. Base on these definitions, the feature dimensions are able to be automatically extracted from these two photos by the efficient bending value method. By adopting a 3D digital manikin behind, the new 3D model is well developed according to the feature dimensions extracted from photos. Meanwhile, we also develop an evaluation method to examine the new generated model compared to the original 3D structural model. The evaluation concludes that the 3D root-mean-square errors on those crucial body feature lines are within 2.54 cm.

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