3D Face Reconstruction Using the Orthogonal Model to Approximate the Perspective Model

碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 93 ===  Generating realistic three-dimensional (3D) human face models has been a persistent challenge in computer vision. We developed a system that can easily and efficiently reconstruct 3D faces. The system takes a video sequence of the face having a pan rotation f...

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Main Authors: Jin-Yi Wu, 吳進義
Other Authors: Jenn-Jier Lien
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/35wsu5
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spelling ndltd-TW-093NCKU53920692019-05-15T19:18:42Z http://ndltd.ncl.edu.tw/handle/35wsu5 3D Face Reconstruction Using the Orthogonal Model to Approximate the Perspective Model 三維人臉重建使用正交投影逼近透視投影 Jin-Yi Wu 吳進義 碩士 國立成功大學 資訊工程學系碩博士班 93  Generating realistic three-dimensional (3D) human face models has been a persistent challenge in computer vision. We developed a system that can easily and efficiently reconstruct 3D faces. The system takes a video sequence of the face having a pan rotation from one single regular camera. Based on the corresponding points tracked by optical flow, we can reconstruct the 3D face using the factorization approach in an orthogonal projection model. Then we improve the orthogonal model to approximate the perspective model to get a more reliable result. The proposed system also solves the missing point problem. Finally our smoothing method can make the 3D face look smoother and more realistic by interpolating additional vertices. Jenn-Jier Lien 連震杰 2005 學位論文 ; thesis 37 en_US
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description 碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 93 ===  Generating realistic three-dimensional (3D) human face models has been a persistent challenge in computer vision. We developed a system that can easily and efficiently reconstruct 3D faces. The system takes a video sequence of the face having a pan rotation from one single regular camera. Based on the corresponding points tracked by optical flow, we can reconstruct the 3D face using the factorization approach in an orthogonal projection model. Then we improve the orthogonal model to approximate the perspective model to get a more reliable result. The proposed system also solves the missing point problem. Finally our smoothing method can make the 3D face look smoother and more realistic by interpolating additional vertices.
author2 Jenn-Jier Lien
author_facet Jenn-Jier Lien
Jin-Yi Wu
吳進義
author Jin-Yi Wu
吳進義
spellingShingle Jin-Yi Wu
吳進義
3D Face Reconstruction Using the Orthogonal Model to Approximate the Perspective Model
author_sort Jin-Yi Wu
title 3D Face Reconstruction Using the Orthogonal Model to Approximate the Perspective Model
title_short 3D Face Reconstruction Using the Orthogonal Model to Approximate the Perspective Model
title_full 3D Face Reconstruction Using the Orthogonal Model to Approximate the Perspective Model
title_fullStr 3D Face Reconstruction Using the Orthogonal Model to Approximate the Perspective Model
title_full_unstemmed 3D Face Reconstruction Using the Orthogonal Model to Approximate the Perspective Model
title_sort 3d face reconstruction using the orthogonal model to approximate the perspective model
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/35wsu5
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