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» Testing of Image Processing Algorithms on Synthetic Data
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ICASSP
2011
IEEE
14 years 8 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
ICRA
2003
IEEE
121views Robotics» more  ICRA 2003»
15 years 9 months ago
A comparison of Gaussian and mean curvatures estimation methods on triangular meshes
Estimating intrinsic geometric properties of a surface from a polygonal mesh obtained from range data is an important stage of numerous algorithms in computer and robot vision, co...
Tatiana Surazhsky, Evgeni Magid, Octavian Soldea, ...
TMI
2010
164views more  TMI 2010»
14 years 11 months ago
Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
Ramin Eslami, Mathews Jacob
ICIP
2008
IEEE
15 years 10 months ago
Wavelet-based hybrid multilinear models for multidimensional image approximation
The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
Qing Wu, Chun Chen, Yizhou Yu
ICIP
2006
IEEE
16 years 6 months ago
Robust Kernel-Based Tracking using Optimal Control
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
Wei Qu, Dan Schonfeld