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» A Novel Framework for Imaging Using Compressed Sensing
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CVPR
2001
IEEE
14 years 10 months ago
A Probabilistic Framework for Surface Reconstruction from Multiple Images
This paper presents a novel probabilistic framework for 3D surface reconstruction from multiple stereo images. The method works on a discrete voxelized representation of the scene...
Motilal Agrawal, Larry S. Davis
CVBIA
2005
Springer
14 years 2 months ago
A New Coarse-to-Fine Framework for 3D Brain MR Image Registration
Registration, that is, the alignment of multiple images, has been one of the most challenging problems in the field of computer vision. It also serves as an important role in biome...
Terrence Chen, Thomas S. Huang, Wotao Yin, Xiang S...
ICVGIP
2004
13 years 10 months ago
A Robust Nonparametric Estimation Framework for Implicit Image Models
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
Himanshu Arora, Maneesh Singh, Narendra Ahuja
ISNN
2007
Springer
14 years 3 months ago
Two-Dimensional Bayesian Subspace Analysis for Face Recognition
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Daoqiang Zhang
ICASSP
2008
IEEE
14 years 3 months ago
Transmit codes and receive filters for pulse compression radar systems
Pulse compression radar systems make use of transmit code sequences and receive filters that are specially designed to achieve good range resolution and target detection capabili...
Petre Stoica, Jian Li, Ming Xue