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» Self-Calibration Using the Linear Projective Reconstruction
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168
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ICIP
1998
IEEE
16 years 8 months ago
An Explicit Closed-Form Solution to the Limited-Angle Discrete Tomography Problem for Finite-Support Objects
: An explicit formula is presented for reconstructing a This article derives an explicit formula for the integer values finite-support object defined on a lattice of points and tak...
Andrew E. Yagle
160
Voted
DCC
2008
IEEE
16 years 6 months ago
Compressive-Projection Principal Component Analysis for the Compression of Hyperspectral Signatures
A method is proposed for the compression of hyperspectral signature vectors on severely resourceconstrained encoding platforms. The proposed technique, compressive-projection prin...
James E. Fowler
160
Voted
ICPR
2006
IEEE
16 years 7 months ago
A Regression Model in TensorPCA Subspace for Face Image Super-resolution Reconstruction
A regression model in the tensorPCA subspace is proposed in this paper for face super-resolution reconstruction. An approximate conditional probability model is used for the tenso...
Junwen Wu, Mohan M. Trivedi
209
Voted
ICASSP
2008
IEEE
16 years 25 days ago
Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
175
Voted
COMPGEOM
2010
ACM
15 years 10 months ago
Manifold reconstruction using tangential Delaunay complexes
We give a provably correct algorithm to reconstruct a kdimensional manifold embedded in d-dimensional Euclidean space. Input to our algorithm is a point sample coming from an unkn...
Jean-Daniel Boissonnat, Arijit Ghosh