隨者時代進步，健康成為現在人們最看重的事情，所以會加強運動來維持健康，而在規律的運動後，會希望了解自己的身材變成如何，是否是自己想要的完美身材，更激勵自己如何運動，而3D視覺呈現人體是最立體直覺展現方式。

現在3D圖學盛行，不論是在遊戲或日常都趨於走向三維呈現方式。3D建模的設計者越來越多，而鮮少有個人化的建立人體模型的方法。由於而在三維模型建立過程中會受許多個人因素與外在因素的作用，要如何建立成為很重要的議題。

本論文以個人化身型模擬變胖或變瘦為目標，個人的身高體重和掃描個人的身型，自動化的尋找兩個模型之間的對應點，最後產生出個人化的3D模擬模型。我們為了產生布點完整整齊的3D人體模型，透過人體體積估算，調整變型範例模型的模型，模擬出使用者的人體模型。

Nowadays people tend to value health as the most important thing, and therefore doing exercise is very common as it can help maintain the health. Many people would like to see how their body shapes will become if they can persist on regular exercises. It could strongly motivate a person if he/she knows a perfect body shape can be achieved through exercises, especially when the presentation of a human body is in the form of a 3D model, as it is very intuitive.

With the popularity of computer graphics, 3D modeling has become quite common. There have been more and more methods on 3D modeling of different kinds; however, relatively few of them concentrate on personalized 3D human modeling. As mentioned previously, we believe a 3D human modeling that considers personalization has become a quite important issue.

This thesis aims to modify a 3D human model, originally generated from the tool of Makehuman, to resemble the 3D model that is generated by using a Microsoft Kinect to scan a person. It proposes approaches to automatically find out the corresponding points between the Makehuman model and the Kinect model so that volumes of both models can be computed and the Makehuman model can be adjusted to be a good approximation of the Kinect model.

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