Imaged-based 3D face modeling

We present an image-based 3D face modeling algorithm. Different from traditional complex stereo vision procedure, our new method needs only two orthogonal images for fast 3D modeling without any camera calibration. The proposed method has two steps. Firstly according to MPEG-4 protocol for 3D face s...

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Main Authors: Mandun Zhang, Linna Ma, Xiangyong Zeng, Yangsheng Wang
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Computer graphics
Computer vision
Deformable models
Face detection
Facial animation
Facial features
Image reconstruction
MPEG 4 Standard
Shape measurement
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creator Mandun Zhang
Linna Ma
Xiangyong Zeng
Yangsheng Wang
description We present an image-based 3D face modeling algorithm. Different from traditional complex stereo vision procedure, our new method needs only two orthogonal images for fast 3D modeling without any camera calibration. The proposed method has two steps. Firstly according to MPEG-4 protocol for 3D face structure, we appoint and deform feature points by radial basis functions (RBF) in the input images corresponding to the generic model. Then the texture mapping is carried out with regard to different directional projections. The experiments demonstrate that our new algorithm can photo-realistically render 3D face with very limited computation.
doi_str_mv 10.1109/CGIV.2004.1323979
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Cameras
Computer graphics
Computer vision
Deformable models
Face detection
Facial animation
Facial features
Image reconstruction
MPEG 4 Standard
Shape measurement
title Imaged-based 3D face modeling
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