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PAMI
2012
11 years 10 months ago
Monocular 3D Reconstruction of Locally Textured Surfaces
— Most recent approaches to monocular non-rigid 3D shape recovery rely on exploiting point correspondences and work best when the whole surface is well-textured. The alternative ...
Aydin Varol, Appu Shaji, Mathieu Salzmann, Pascal ...
ICASSP
2011
IEEE
12 years 11 months ago
Dictionary learning of convolved signals
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
Daniele Barchiesi, Mark D. Plumbley
MICCAI
2005
Springer
14 years 8 months ago
3D Curve Inference for Diffusion MRI Regularization
Abstract. We develop a differential geometric framework for regularizing diffusion MRI data. The key idea is to model white matter fibers as 3D space curves and to then extend Pare...
Peter Savadjiev, Jennifer S. W. Campbell, G. Bruce...
ECCV
2010
Springer
14 years 9 days ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
SIAMAM
2010
96views more  SIAMAM 2010»
13 years 6 months ago
Mathematical Modeling of Vascular Stents
Abstract. We present a mathematical model for a study of the mechanical properties of endovascular stents in their expanded state. The model is based on the theory of slender curve...
Josip Tambaca, M. Kosor, Suncica Canic, D. Paniagu...