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» Sparse representation of images with hybrid linear models
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ICML
2010
IEEE
15 years 27 days ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
SIGPRO
2010
141views more  SIGPRO 2010»
14 years 10 months ago
Tetrolet shrinkage with anisotropic total variation minimization for image approximation
In this paper, an anisotropic total variation (ATV) minimization is combined with the new adaptive tetrolet transform for discontinuity-preserving image processing. In order to su...
Jens Krommweh, Jianwei Ma
ICASSP
2009
IEEE
15 years 6 months ago
Adaptive coding of images via multiresolution ICA
Multiresolution (MR) representations have been very successful in image encoding, due to both their algorithmic performance and coding efficiency. However these transforms are ...
Doru-Cristian Balcan, Michael S. Lewicki
ECCV
2004
Springer
16 years 1 months ago
General Linear Cameras
Abstract. We present a General Linear Camera (GLC) model that unifies many previous camera models into a single representation. The GLC model is capable of describing all perspecti...
Jingyi Yu, Leonard McMillan
TOG
2012
237views Communications» more  TOG 2012»
13 years 2 months ago
An algebraic model for parameterized shape editing
We present an approach to high-level shape editing that adapts the structure of the shape while maintaining its global characteristics. Our main contribution is a new algebraic mo...
Martin Bokeloh, Michael Wand, Hans-Peter Seidel, V...