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» Modelling perception using image processing algorithms
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DAGM
2010
Springer
15 years 5 months ago
A Convex Approach for Variational Super-Resolution
We propose a convex variational framework to compute high resolution images from a low resolution video. The image formation process is analyzed to provide to a well designed model...
Markus Unger, Thomas Pock, Manuel Werlberger, Hors...
DAGM
2008
Springer
15 years 8 months ago
Example-Based Learning for Single-Image Super-Resolution
Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...
Kwang In Kim, Younghee Kwon
3DIM
2003
IEEE
16 years 3 days ago
Human Figure Reconstruction and Modeling from Single Image or Monocular Video Sequence
In this contribution we firstly review some approaches to recover the 3D shape of human figures and the related movements. Then we present an improved and reliable version of an e...
Fabio Remondino, Andreas Roditakis
MICCAI
2007
Springer
16 years 7 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...
ICPR
2006
IEEE
16 years 8 months ago
Real Time Tracking for 3D Realistic Lip Animation
This article deals with facial segmentation and liptracking with feedback control for real-time animation of a synthetic 3D face model. Classical approaches consist in two success...
Brice Beaumesnil, Franck Luthon