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» Learning Enhanced 3D Models for Vehicle Tracking
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CVPR
2004
IEEE
15 years 11 months ago
3D Facial Tracking from Corrupted Movie Sequences
In this paper we perform 3D face tracking on corrupted video sequences. We use a deformable model, combined with a predictive filter, to recover both the rigid transformations and...
Siome Goldenstein, Christian Vogler, Dimitris N. M...
SCIA
2007
Springer
162views Image Analysis» more  SCIA 2007»
15 years 3 months ago
A Robust Approach for 3D Cars Reconstruction
Computing high quality 3D models from multi-view stereo reconstruction is an active topic as can be seen in a recent review [15]. Most approaches make the strong assumption that th...
Adrien Auclair, Laurent D. Cohen, Nicole Vincent
ISBI
2008
IEEE
15 years 10 months ago
Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography
We propose a new Bayesian, stochastic tracking algorithm for the segmentation of blood vessels from 3D medical image data. Inspired by the recent developments in particle filterin...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
NIPS
2003
14 years 11 months ago
Learning Non-Rigid 3D Shape from 2D Motion
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
CVPR
2009
IEEE
1132views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Observable Subspaces for 3D Human Motion Recovery
The articulated body models used to represent human motion typically have many degrees of freedom, usually expressed as joint angles that are highly correlated. T...
Andrea Fossati (EPFL), Mathieu Salzmann (Universit...