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» Sparse Image Reconstruction using Sparse Priors
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CVPR
2011
IEEE
14 years 7 months ago
Sparse Reconstruction Cost for Abnormal Event Detection
We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given an over-complete normal basis set (e.g., an image sequence or a collection of local s...
Yang Cong, Junsong Yuan, Ji Liu
ICIP
2010
IEEE
14 years 9 months ago
Semi-automatic motion based segmentation using long term motion trajectories
Semi-automated object segmentation is an important step in the cinema post-production workflow. We propose a dense motion based segmentation process that employs sparse feature ba...
Gary Baugh, Anil C. Kokaram
IPMI
2007
Springer
16 years 12 days ago
Multi-fiber Reconstruction from Diffusion MRI Using Mixture of Wisharts and Sparse Deconvolution
Abstract. In this paper, we present a novel continuous mixture of diffusion tensors model for the diffusion-weighted MR signal attenuation. The relationship between the mixing dist...
Bing Jian, Baba C. Vemuri
ICIP
2008
IEEE
16 years 1 months ago
Kalman filtered Compressed Sensing
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...
Namrata Vaswani
CVIU
2011
14 years 3 months ago
Single and sparse view 3D reconstruction by learning shape priors
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
Yu Chen, Roberto Cipolla