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» 3D Model Acquisition from Uncalibrated Images
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CVPR
2006
IEEE
16 years 8 months ago
Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis
We present a novel approach to the segmentation and analysis of vasculature from volumetric medical image data. Our method is an adoption and significant extension of deformable o...
Chris McIntosh, Ghassan Hamarneh
ICIP
2007
IEEE
16 years 8 months 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
ICIP
2001
IEEE
16 years 7 months ago
Use of a probabilistic shape model for non-linear registration of 3D scattered data
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
Isabelle Corouge, Christian Barillot
ICCV
2011
IEEE
14 years 6 months ago
Physically-based Motion Models for 3D Tracking: A Convex Formulation
In this paper, we propose a physically-based dynamical model for tracking. Our model relies on Newton’s second law of motion, which governs any real-world dynamical system. As a...
Mathieu Salzmann, Raquel Urtasun
ICIAR
2004
Springer
15 years 11 months ago
3D Meshes Registration: Application to Statistical Skull Model
Abstract. In the context of computer assist surgical techniques, a new elastic registration method of 3D meshes is presented. In our applications, one mesh is a high density mesh (...
Maxime Berar, Michel Desvignes, Gérard Bail...