6 search results - page 1 / 2 » Compressive sensing of parameterized shapes in images |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Compressive Sensing (CS) uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. The Hough t...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
3D MRI of the upper airway has provided valuable insights into vocal tract shaping and data for the modeling of speech production. Small movements of articulators can lead to larg...
3DIM
2003
IEEE
13 years 8 months ago
2003
IEEE
A statistical representation of three-dimensional shapes is introduced, based on a novel four-dimensional feature. The feature parameterizes the intrinsic geometrical relation of ...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
CGF
2008
13 years 4 months ago
2008
We present a generic framework for compression of densely sampled 3D surfaces in order to satisfy the increasing demand for storing large amounts of 3D content. We decompose a giv...