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» A Bayesian Framework for Multi-cue 3D Object Tracking
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IPMI
1999
Springer
14 years 8 months ago
Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models
The estimation of soft tissue deformation from 3D image sequences is an important problem in a number of fields such as diagnosis of heart disease and image guided surgery. In thi...
Xenophon Papademetris, Pengcheng Shi, Donald P. Di...
ICRA
2008
IEEE
297views Robotics» more  ICRA 2008»
14 years 1 months ago
Fast 3D reconstruction of human shape and motion tracking by parallel fast level set method
— This paper presents a parallel algorithm of the Level Set Method named the Parallel Fast Level Set Method, and its application for real-time 3D reconstruction of human shape an...
Yumi Iwashita, Ryo Kurazume, Kenji Hara, Seiichi U...
IBPRIA
2005
Springer
14 years 29 days ago
A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking
Abstract. In this paper we present a method suitable to be used for human tracking as a temporal prior in a particle filtering framework such as CONDENSATION [5]. This method is f...
Ignasi Rius, Daniel Rowe, Jordi Gonzàlez, F...
IPMI
2001
Springer
14 years 8 months ago
Multi-scale 3-D Deformable Model Segmentation Based on Medial Description
This paper presents a Bayesian multi-scale three dimensional deformable template approach based on a medial representation for the segmentation and shape characterization of anatom...
Sarang C. Joshi, Stephen M. Pizer, P. Thomas Fletc...
CVPR
2007
IEEE
14 years 9 months ago
Kernel-Based 3D Tracking
We present a computer vision system for robust object tracking in 3D by combining evidence from multiple calibrated cameras. This kernel-based 3D tracker is automatically bootstra...
Ambrish Tyagi, Mark A. Keck, James W. Davis, Geras...