本文主要的目標為探討雷射掃描式人體量測系統之設計、製造，並進行人體掃描點資料處理之研究。主要的研究內容包括點資料的定位、人體拓樸區塊的分割、適合人體不同拓樸區塊的濾點方法以及人體點資料三角網格化之表面重建。
首先，點資料定位乃是針對不同攝影機之座標系統，找出其視角重疊區域間之資料轉換關係。發展一新的「滑動對正法」，在多次座標轉換後，取得誤差值最小的定位位置。
接著計算人體之主軸偏移角，並把資料作轉正動作，然後找出特徵點位置，並將人體分割成五大拓樸區塊，經由影像處理的技術與資料幾何之關係，針對不同之區塊進行雜訊點濾除。透過資料之修補與壓縮技術，便可得到較緊密之資料格式。此檔案除了能方便後續之特徵搜尋外，並可利用來建構三角網格，再經由轉換關係，即取得人體表面資料網格重建的結果。

The subjects of this study are to design and construct a body scanner for anthropometric purposes and to process the scanned data. The major contents include the registration of point data, adaptive removal of the noise data form different body parts, segmentation of data cloud into meaningful regions, and the mesh construction of the human body.
For the data registration, the overlapped zones detected from different cameras are first located. A so-called “sliding registration” method was developed and the corresponding transformation matrices are computed, which depends on the least registration error.
After the correction of the principal axes, a cusp finding algorithm found the armpits and crotch. The human body was then separated and coded into five range images representing different body parts. Noise points in different parts were filtered out through image processing technique. The data can be reduced to one-hundredth of the original size if the regular data compression method is further used. The Delaunay triangulation of the human body was also conducted on each segment and assembled together. It is found that the coded image files also reduce the difficulty of the mesh construction very much.

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