人體三維掃描技術已在世界各國發展許久，但這些龐大又毫無結構的資料點並無法被有效的使用，因此本研究將介紹點資料的前處理步驟:將雜訊濾除與點資料的旋轉，最後將點資料分割成身體、手部、腿部幾個主要區塊，以供後續人體結構化之使用。
人體結構化則是可以分成幾個部分進行:頭、頸部結構化，身體結構化，手部結構化，最後是腿部結構化，每個部位都有其特徵點與特徵線，而結構化便是建立在這些特徵上，完成結構化後我們便會輸出兩種格式之檔案(.asc)檔與(.stl)檔，以方便後續之應用。
本研究中使用之人體結構化資料，就像地球的經緯度一樣，每一結構點皆有其對應之位置與意義，而此種資料才能夠被廣泛的用於各種研究與商業，希望此種架構可以成為未來的資料標準架構。

The human 3D scan technology has been developed for a long time in the world. However, these huge and unstructured data can’t be used directly. Therefore this study will construct a structured human model before the data preprocessing. Data preprocessing will filter the noise and rotate scan data to its principle axis then segment data into several parts that will structured in the later process.

Human scan data structured process will divide into four parts, which are: head and neck structure, torso structure, arm and palm structure, leg structure. Each part has their own features and structure process is based on these features. After finished structure process we will output two files which are: (.asc) and (.stl) file that we can easily use.

In this study we have structured human data, these data structure like longitude and latitude of the earth, every structure points have their signification, and this kind of data can be widely used in many research and manufacture. We always hope this data structure can become the standard architecture in the future.

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