Sciweavers

24 search results - page 1 / 5
» Imaging via Three-dimensional Compressive Sampling
Sort
View
ICCV
2011
IEEE
12 years 4 months ago
Imaging via Three-dimensional Compressive Sampling
Compressive sampling (CS) aims at acquiring a signal at a sampling rate that is significantly below the Nyquist rate. Its main idea is that a signal can be decoded from incomplet...
Xianbiao Shu, Narendra Ahuja
VISUALIZATION
1998
IEEE
13 years 9 months ago
Image-based rendering with occlusions via cubist images
We attack the problem of image-based rendering with occlusions and general camera motions by using distorted multiperspective images; such images provide multiple-viewpoint photom...
Andrew J. Hanson, Eric A. Wernert
ECCV
2010
Springer
13 years 3 months ago
Hybrid Compressive Sampling via a New Total Variation TVL1
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
Xianbiao Shu, Narendra Ahuja
CGF
2006
183views more  CGF 2006»
13 years 4 months ago
Data-driven Local Coordinate Systems for Image-Based Rendering
Image-based representations of an object profit from known geometry. The more accurate this geometry is known, the better corresponding pixels in the different images can be align...
Gero Müller, Ralf Sarlette, Reinhard Klein
CISS
2008
IEEE
13 years 11 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...