研究生: |
杜信宏 Tu,Hsin-Hung |
---|---|
論文名稱: |
3D動態腳型資料庫之建立與應用 The Establishment of 3-D Dynamic Foot Forms Database and Its Application |
指導教授: |
游志雲
Yu,Chi-Yuang |
口試委員: | |
學位類別: |
博士 Doctor |
系所名稱: |
工學院 - 工業工程與工程管理學系 Department of Industrial Engineering and Engineering Management |
論文出版年: | 2008 |
畢業學年度: | 97 |
語文別: | 中文 |
論文頁數: | 69 |
中文關鍵詞: | 3D動態腳型資料庫 、腳跟高度 、腳型尺寸變化 |
外文關鍵詞: | 3D dynamic foot form database, heel height, foot measurements variation |
相關次數: | 點閱:1 下載:0 |
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3D動態腳型資料庫在鞋楦設計上是很重要的參考依據。傳統的鞋楦設計過程是一個鞋楦師父以平放腳型的尺寸值為參考來不斷重複修改鞋楦的繁複過程,究其原因乃因為過去的腳型量測技術無法量測3D腳型的變化,而現在的3D腳型量測技術正可以補充這個不足。因此,本研究的目的在於建立一個擁有不同跟高變化的3D動態腳型資料庫,同時萃取並分析其腳型尺寸的變化。本研究使用3D腳型掃描儀來量測總共270位受測者(男女性各135位)的右腳在不同腳跟高度時(0-cm,3-cm,6-cm,9-cm)的腳型。掃描完畢後,利用Anthro3D軟體半自動辨識出3D腳型上的6個重要腳型標記點,並萃取出10個關鍵的1D腳型尺寸值。同時本研究以0 cm腳型(平放時的腳型)尺寸值做為正規化的基準,將這10個腳型尺寸值的變化以百分比值來表示,藉以分析這10個腳型尺寸值的變化情形,並計算出其估算迴歸公式。本研究結果建立了270位受測者在不同跟高下的3D動態腳型資料庫,萃取並分析出各腳型尺寸值的變化以及其估算迴歸公式,這些迴歸公式的R2大抵在0.7左右。這些量測結果可以提供給傳統鞋傳師父或3D動態腳型模型研究做為設計參考。
3D dynamic foot forms database is an important reference on the shoe industry. Traditionally, the making of a shoe last for a new shoe design was a tedious process. The shoe lastmaker was used to modify an existing shoe last model by taking a series of 1-D foot measurements in flat position to estimate the 3-D foot form and its measurements in high heel-raise position repetitively. This can be attributed to the fact that 3-D foot form measurement technique was not available in the past, and can be implemented by the 3D foot scanning technology nowadays. The purpose of this study is to collect 3-D foot forms at various heel heights and extract the measurements to analyze their variations. A 3-D foot scanner was used. 135 males and 135 females were recruited and paid for participation. For each subject, 4 scans of the right foot at 0-, 3-, 6- and 9-cm heel heights were taken. For each scan, 6 landmarks were identified and then 10 1-D measurements were extracted semi-automatically by Anthro3D software. In data analysis, foot form in 0-cm heel height is taking as the normalization factor, and measurements in 3-, 6- and 9-cm heel heights are then normalized to analysis their variations. Regression models are also analyzed. A 3D foot database with 270 people is established in results as well as their 10 1-D measurements extracted. After normalization, the regression models to the variation of the measurements under 4 different heel heights are also analyzed. The R2s of these models are all about 0.7. The results are useful for the shoe lastmaker in estimating the measurements changed in heel-raised position and for the validation to the dynamic foot models.
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