Comparison of Scanning Method and Modeling of Authentic Human Foot: An Application of Reverse Engineering to Foot Prototype
碩士 === 大葉大學 === 工業工程與科技管理學系 === 97 === This research is to build up a true human foot RP mockup and use the NURBS surface to construct the foot surface. The implementation is to use Breukman scanner to scan the right foot of the author and apply RapidForm XOR2 to construct the surface model. Followe...
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ndltd-TW-097DYU000300032015-10-13T13:08:48Z http://ndltd.ncl.edu.tw/handle/18020658250254322907 Comparison of Scanning Method and Modeling of Authentic Human Foot: An Application of Reverse Engineering to Foot Prototype 比較掃描方法與繪製腳模型:逆向工程應用在腳模型製作 Wang Shih Hung 汪士弘 碩士 大葉大學 工業工程與科技管理學系 97 This research is to build up a true human foot RP mockup and use the NURBS surface to construct the foot surface. The implementation is to use Breukman scanner to scan the right foot of the author and apply RapidForm XOR2 to construct the surface model. Followed by the built-in function of the XOR2 software, we can map NURBS surfaces of the model and transfer it in IGES format to the Rhino 4.0 and read out the construction parameters for each NURBS surface. After extracting the parameters, we can reconstruct the foot surface and manipulate the parameters to change the foot surface. The problem in making NURBS surfaces is to choose the right color to mimic the true human foot. The first approach is using the mono color. The second approach is to take a picture of true human foot and extract part of it and use image processing to create a camouflage colors which mimics the true human foot. We compare the two approaches and discuss the implication of the control points, knot vectors and weights to the NURBS surface construction. Teng Chih Chien 鄧志堅 2009 學位論文 ; thesis 94 zh-TW |
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碩士 === 大葉大學 === 工業工程與科技管理學系 === 97 === This research is to build up a true human foot RP mockup and use the NURBS surface to construct the foot surface. The implementation is to use Breukman scanner to scan the right foot of the author and apply RapidForm XOR2 to construct the surface model. Followed by the built-in function of the XOR2 software, we can map NURBS surfaces of the model and transfer it in IGES format to the Rhino 4.0 and read out the construction parameters for each NURBS surface. After extracting the parameters, we can reconstruct the foot surface and manipulate the parameters to change the foot surface. The problem in making NURBS surfaces is to choose the right color to mimic the true human foot. The first approach is using the mono color. The second approach is to take a picture of true human foot and extract part of it and use image processing to create a camouflage colors which mimics the true human foot. We compare the two approaches and discuss the implication of the control points, knot vectors and weights to the NURBS surface construction.
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author2 |
Teng Chih Chien |
author_facet |
Teng Chih Chien Wang Shih Hung 汪士弘 |
author |
Wang Shih Hung 汪士弘 |
spellingShingle |
Wang Shih Hung 汪士弘 Comparison of Scanning Method and Modeling of Authentic Human Foot: An Application of Reverse Engineering to Foot Prototype |
author_sort |
Wang Shih Hung |
title |
Comparison of Scanning Method and Modeling of Authentic Human Foot: An Application of Reverse Engineering to Foot Prototype |
title_short |
Comparison of Scanning Method and Modeling of Authentic Human Foot: An Application of Reverse Engineering to Foot Prototype |
title_full |
Comparison of Scanning Method and Modeling of Authentic Human Foot: An Application of Reverse Engineering to Foot Prototype |
title_fullStr |
Comparison of Scanning Method and Modeling of Authentic Human Foot: An Application of Reverse Engineering to Foot Prototype |
title_full_unstemmed |
Comparison of Scanning Method and Modeling of Authentic Human Foot: An Application of Reverse Engineering to Foot Prototype |
title_sort |
comparison of scanning method and modeling of authentic human foot: an application of reverse engineering to foot prototype |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/18020658250254322907 |
work_keys_str_mv |
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