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» A Bag of Features Approach for 3D Shape Retrieval
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ICVGIP
2004
13 years 8 months ago
Facial Model Improvement Using 3D Texture Mapping Feedback
We present a method for improving a 3D facial model by interactive feedback of mapping a texture obtained from a 3D scanner. The method is based on extracting features from both 3...
Yongjie Liu, Anup Basu, Jong-Seong Kim
EMMCVPR
1999
Springer
13 years 11 months ago
Maximum Likelihood Inference of 3D Structure from Image Sequences
The paper presents a new approach to recovering the 3D rigid shape of rigid objects from a 2D image sequence. The method has two distinguishing features: it exploits the rigidity o...
Pedro M. Q. Aguiar, José M. F. Moura
ICPR
2002
IEEE
14 years 10 days ago
Glasses Frame Detection with 3D Hough Transform
This paper describes a method to detect glasses’ frames for robust facial image processing. This method makes use of the 3D features obtained by a trinocular stereo vision syste...
Haiyuan Wu, Genki Yoshikawa, Tadayoshi Shioyama, S...
ICCV
2005
IEEE
14 years 1 months ago
Automatic 3D Face Modeling from Video
In this paper, we develop an efficient technique for fully automatic recovery of accurate 3D face shape from videos captured by a low cost camera. The method is designed to work ...
Le Xin, Qiang Wang, Jianhua Tao, Xiaoou Tang, Tien...
VIP
2003
13 years 8 months ago
3D Reconstruction of Single Picture
This paper presents a novel approach for creating curvilinear, texture mapped, 3D scene models from a single painting or photograph with no prior internal knowledge about the shap...
Zhao Ting, David Dagan Feng, Tan Zheng