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» Image Capture Modelling for High Resolution Reconstruction
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CVPR
2012
IEEE
13 years 2 months ago
Spatio-temporal motion tracking with unsynchronized cameras
We present a new spatio-temporal method for markerless motion capture. We reconstruct the pose and motion of a character from a multi-view video sequence without requiring the cam...
A. Elhayek, Carsten Stoll, Nils Hasler, Kwang In K...
BMVC
2000
15 years 1 months ago
A Statistical Geometric Framework for Reconstruction of Scene Models
This paper addresses the problem of reconstructing surface models of indoor scenes from sparse 3D scene structure captured from N camera views. Sparse 3D measurements of real scen...
Anastasios Manessis, Adrian Hilton, Philip F. McLa...
APVIS
2009
15 years 29 days ago
Fast and sleek glyph rendering for interactive HARDI data exploration
High angular resolution diffusion imaging (HARDI) is an emerging magnetic resonance imaging (MRI) technique that overcomes some decisive limitations of its predecessor diffusion t...
Tim H. J. M. Peeters, Vesna Prckovska, Markus van ...
ISBI
2009
IEEE
15 years 6 months ago
LV Surface Reconstruction from Sparse TMRI Using Laplacian Surface Deformation and Optimization
We propose a novel framework to reconstruct the left ventricle (LV)’s 3D surface from sparse tagged-MRI (tMRI). First we acquire an initial surface mesh from a dense tMRI. Then ...
Shaoting Zhang, Xiaoxu Wang, Dimitris Metaxas, Tin...
CVPR
2005
IEEE
16 years 1 months ago
Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation
In this paper, we propose a new face hallucination framework based on image patches, which integrates two novel statistical super-resolution models. Considering that image patches...
Wei Liu, Dahua Lin, Xiaoou Tang