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研究生: 張仁豪
Jen-Hao Chang
論文名稱: 基於單張相片之肖像重建
Face Reconstruction From Single Photo
指導教授: 姚智原
Chih-Yuan Yao
口試委員: 賴祐吉
Yu-Chi Lai
朱宏國
Hung-Kuo Chu
王昱舜
Yu-Shuen Wang
學位類別: 碩士
Master
系所名稱: 電資學院 - 資訊工程系
Department of Computer Science and Information Engineering
論文出版年: 2015
畢業學年度: 103
語文別: 中文
論文頁數: 46
中文關鍵詞: 人臉特徵3D變形人臉貼圖
外文關鍵詞: Facial features, 3D deformation, face texture
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近來手機APP的市場裡,已出現幾款利用單張相片來進行人臉建模的APP,其中最顯而易見的缺點為其結果與原人臉的相似度並沒有想像中的高,因為它們最常利用的方法是將2D人臉圖片直接貼上固定模板的3D模型上。因此,從一開始就能從模板的3D模型跟原始人臉圖片的外型相似度看出最終建模結果的相似程度,而本論文則將提出一個讓3D模型更貼近原始人臉的一種全新方式。


Recently on the app store, a few apps that use a single photo to model human faces have been released. The most obvious flaw of the apps is the results are not as similar to the original face as expected, since the most common method they use is to apply a 2D face image directly to a predefined 3D face template model. Therefore, the similarity between the final result and the original face photo can be observed from the similarity between the 3D template model and the original face photo. In this paper, we propose a novel method for creating a 3D model that has more likeness to the original human face.

第一章緒論 第二章相關研究 第三章論文概要 第四章人臉特徵偵測 第五章3D臉部模型合適 第六章人臉貼圖 第七章實驗結果 第八章結論與未來展望

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