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» Optimal recovery approach to image interpolation
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ISBI
2004
IEEE
14 years 8 months ago
Fourier-Based Forward and Back-Projectors in Iterative Fan-Beam Tomographic Image Reconstruction
Fourier-based forward and back-projection methods have the potential to reduce computation demands in iterative tomographic image reconstruction. Interpolation errors are a limita...
Yingying Zhang, Jeffrey A. Fessler
CVPR
2008
IEEE
14 years 9 months ago
Simultaneous image transformation and sparse representation recovery
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
DAGM
2009
Springer
14 years 2 months ago
A Stereo Depth Recovery Method Using Layered Representation of the Scene
Recent progresses in stereo research imply that performance of the disparity estimation depends on the discontinuity localization in the disparity space which is generally predicat...
Tarkan Aydin, Yusuf Sinan Akgul
ICIP
1998
IEEE
14 years 9 months ago
A Fast and Robust Point Tracking Algorithm
We present an algorithm that efficiently tracks a predefined set of landmark points in a time sequence of images. The algorithm iteratively optimizes the correspondences between t...
Cor J. Veenman, Emile A. Hendriks, Marcel J. T. Re...
ICASSP
2011
IEEE
12 years 11 months ago
Sparse decomposition of transformation-invariant signals with continuous basis pursuit
Consider the decomposition of a signal into features that undergo transformations drawn from a continuous family. Current methods discretely sample the transformations and apply s...
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Sim...