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130
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ECCV
2006
Springer
16 years 5 months ago
A Learning Based Approach for 3D Segmentation and Colon Detagging
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
Zhuowen Tu, Xiang Zhou, Dorin Comaniciu, Luca Bogo...
158
Voted
ECCV
2000
Springer
16 years 5 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
139
Voted
CVPR
2008
IEEE
15 years 10 months ago
3D face tracking and expression inference from a 2D sequence using manifold learning
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Wei-Kai Liao, Gérard G. Medioni
134
Voted
ICMCS
2008
IEEE
148views Multimedia» more  ICMCS 2008»
15 years 10 months ago
Loss tolerance scheme for 3D progressive meshes streaming over networks
– Nowadays, the Internet provides a convenient medium for sharing complex 3D models online. However, transmitting 3D progressive meshes over networks may encounter the problem of...
Hui Li, Ziying Tang, Xiaohu Guo, Balakrishnan Prab...
114
Voted
ICCS
2005
Springer
15 years 9 months ago
Dynamic Data Driven Coupling of Continuous and Discrete Methods for 3D Tracking
We present a new framework for robust 3D tracking, using a dynamic data driven coupling of continuous and discrete methods to overcome their limitations. Our method uses primarily ...
Dimitris N. Metaxas, Gabriel Tsechpenakis