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ICIP
2009
IEEE
8 years 9 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
MVA
2000
273views Computer Vision» more  MVA 2000»
8 years 11 months ago
A compact algorithm for rectification of stereo pairs
We present a linear rectification algorithm for general, unconstrained stereo rigs. The algorithm takes the two perspective projection matrices of the original cameras, and compute...
Andrea Fusiello, Emanuele Trucco, Alessandro Verri
ICMCS
2010
IEEE
165views Multimedia» more  ICMCS 2010»
9 years 1 months ago
On deriving longer fingerprints from features based on projections
We propose three methods to derive longer fingerprints from features using projection based hashing methods. For this class of hashing methods, a feature matrix is projected onto ...
Regunathan Radhakrishnan, Claus Bauer, Wenyu Jiang
CEC
2010
IEEE
9 years 1 months ago
Non-rigid 3D face shape reconstruction using a genetic algorithm
This paper proposes a method for reconstructing non-rigid 3D shapes from noisy 2D shapes. The proposed method estimates the 3D shape bases and projection matrices, exploiting low-r...
Jong-Min Park, Hyun-Chul Choi, Se-Young Oh
BMVC
1996
9 years 1 months ago
Linear Projective Reconstruction from Matching Tensors
This paperdescribes initial work on a family of projectivereconstructiontechniques that extract projection matrices directly and linearly from matching tensors estimated from imag...
Bill Triggs
ICMCS
1999
IEEE
259views Multimedia» more  ICMCS 1999»
9 years 4 months ago
PhotoBuilder - 3D Models of Architectural Scenes from Uncalibrated Images
We address the problem of recovering 3D models from uncalibrated images of architectural scenes. We propose a simple, geometrically intuitive method which exploits the strong rigi...
Roberto Cipolla, Duncan P. Robertson, Edmond Boyer
ECCV
2008
Springer
10 years 1 months ago
Perspective Nonrigid Shape and Motion Recovery
We present a closed form solution to the nonrigid shape and motion (NRSM) problem from point correspondences in multiple perspective uncalibrated views. Under the assumption that t...
Richard Hartley, René Vidal
CVPR
2007
IEEE
10 years 1 months ago
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshu...
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