本文提出一套針對三維人體掃瞄資料開發的特徵擷取、網格建立與人體計測自動化系統。本文介紹在國際工業標準(ASTM [1]與ISO [2][3])中人體特徵的定義，透過分析定義的文字描述，轉換成數學與幾何的定義，利用電腦演算法就可以自動化搜尋體表的特徵。
本文利用交錯的特徵線將掃瞄資料分割為多個四邊形區塊，每一個區塊都由周邊的特徵線包圍，將各個區塊中建立的三角網格就可以得到人體的表面模型。這種表達方式不但完整記錄人體胸圍、腰圍、臀圍、肩線與公主線等主要體表特徵，更可利用數量較少的網格表達人體的外形，節省傳輸時間，具有座標編號的各項特徵可以相當容易的取得相對的空間座標。為達到快速量身的目的，本系統內建三種量測方式來模擬傳統量身所使用的投影量、皮尺量與測地量，亦直接提供各項服裝工業中常用的量身尺寸。

In this research, we propose a novel computerized anthropometric system for marker-less scanned body. The descriptions of human body features mostly defined in ASTM [1] and ISO [2][3] are interpreted into logical mathematical definitions. Based on these significant definitions, image processing and computational geometry techniques are employed to automatically identify body features from the torso cloud points. The body surface is divided into a series of rectangular patches using the feature lines as boundaries, we reconstructed the body with a minimal amount of triangles while retaining the essential shape. In order to obtain fast and comprehensive dimensions of an individual, three types of computerized measurement methods are developed on the mesh model. The proposed measuring methods apply to most traditional manual measurements. It aims to present a fast, reliable, and unambiguous method to obtain human body measurements used in the garment industry.

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