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» A Bag of Features Approach for 3D Shape Retrieval
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ICVGIP
2004
14 years 11 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
15 years 1 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
15 years 2 months 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
15 years 3 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
14 years 11 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