138 search results - page 24 / 28 » Exact image reconstruction from a limited number of projecti... |
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper, a new approach for Confocal Microscopy (CM) based on the framework of compressive sensing is developed. In the proposed approach, a point illumination and a random ...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
NIPS
2007
13 years 9 months ago
2007
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
We present a method for retexturing non-rigid objects from a single viewpoint. Without reconstructing 3D geometry, we create realistic video with shape cues at two scales. At a coa...