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» Non-Linear Beam Model for Tracking Large Deformations
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IJCV
2008
188views more  IJCV 2008»
13 years 4 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
CVPR
2007
IEEE
14 years 6 months ago
Multiphase Segmentation of Deformation using Logarithmic Priors
In [8], the authors proposed the large deformation logunbiased diffeomorphic nonlinear image registration model which has been successfully used to obtain theoretically and intuit...
Igor Yanovsky, Paul M. Thompson, Stanley Osher, Lu...
IVC
2007
124views more  IVC 2007»
13 years 4 months ago
Outlier rejection in high-dimensional deformable models
Deformable model tracking is a powerful methodology that allows us to track the evolution of high-dimensional parameter vectors from uncalibrated monocular video sequences. The co...
Christian Vogler, Siome Goldenstein, Jorge Stolfi,...
CVPR
2010
IEEE
13 years 10 months ago
Free-Form Mesh Tracking : a Patch-Based Approach
In this paper, we consider the problem of tracking nonrigid surfaces and propose a generic data-driven mesh deformation framework. In contrast to methods using strong prior models...
Cedric Cagniart, Edmond Boyer, Slobodan Ilic
CVPR
2010
IEEE
13 years 5 months ago
Free-form mesh tracking: A patch-based approach
In this paper, we consider the problem of tracking nonrigid surfaces and propose a generic data-driven mesh deformation framework. In contrast to methods using strong prior models...
Cedric Cagniart, Edmond Boyer, Slobodan Ilic