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CVPR
2008
IEEE
14 years 9 months ago
Reconstructing non-stationary articulated objects in monocular video using silhouette information
This paper presents an approach to reconstruct nonstationary, articulated objects from silhouettes obtained with a monocular video sequence. We introduce the concept of motion blu...
Saad M. Khan, Mubarak Shah
TMI
2002
248views more  TMI 2002»
13 years 7 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
IJCV
2000
121views more  IJCV 2000»
13 years 7 months ago
Regularized Bundle-Adjustment to Model Heads from Image Sequences without Calibration Data
We address the structure-from-motionproblem in the context of head modeling from video sequences for which calibration data is not available. This task is made challenging by the ...
Pascal Fua
AMFG
2003
IEEE
118views Biometrics» more  AMFG 2003»
14 years 29 days ago
Shape and appearance models of talking faces for model-based tracking
This article presents a system that can recover and track the 3D speech movements of a speaker’s face for each image of a monocular sequence. A speaker-specific face model is u...
Matthias Odisio, Gérard Bailly
CVPR
2008
IEEE
14 years 9 months ago
Sparsity, redundancy and optimal image support towards knowledge-based segmentation
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
Salma Essafi, Georg Langs, Nikos Paragios