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MICCAI
2010
Springer
13 years 9 months ago
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
Chaohui Wang, Olivier Teboul, Fabrice Michel, Salm...
ICIP
2007
IEEE
15 years 13 days ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian
ICPR
2008
IEEE
14 years 5 months ago
3D object recognition by fast spherical correlation between combined view EGIs and PFT
This paper proposes a method to recognize 3D object from probed range image under arbitrary pose by fast spherical correlation. First, all view EGIs under different viewpoints are...
Donghui Wang, Hui Qian
GW
2009
Springer
226views Biometrics» more  GW 2009»
13 years 8 months ago
Statistical Gesture Models for 3D Motion Capture from a Library of Gestures with Variants
A challenge for 3D motion capture by monocular vision is 3D-2D projection ambiguities that may bring incorrect poses during tracking. In this paper, we propose improving 3D motion ...
Zhenbo Li, Patrick Horain, André-Marie Pez,...
CVPR
2008
IEEE
15 years 23 days ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...