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ICIP
2002
IEEE
14 years 6 months ago
Complexity regularized shape estimation from noisy Fourier data
We consider the estimation of an unknown arbitrary 2D object shape from sparse noisy samples of its Fourier transform. The estimate of the closed boundarycurve is parametrized by ...
Natalia A. Schmid, Yoram Bresler, Pierre Moulin
ICCV
1999
IEEE
13 years 9 months ago
Robust Estimation of Curvature Information from Noisy 3D Data for Shape Description
We describe an effective and novel approach to infer sign and direction of principal curvatures at each input site from noisy 3D data. Unlike most previous approaches, no local su...
Chi-Keung Tang, Gérard G. Medioni
TIP
2010
154views more  TIP 2010»
12 years 11 months ago
Efficient Fourier-Wavelet Super-Resolution
Super-resolution (SR) is the process of combining multiple aliased low-quality images to produce a high-resolution high-quality image. Aside from registration and fusion of low-res...
M. Dirk Robinson, Cynthia A. Toth, Joseph Y. Lo, S...
SIGPRO
2010
122views more  SIGPRO 2010»
13 years 3 months ago
Parameter estimation for exponential sums by approximate Prony method
The recovery of signal parameters from noisy sampled data is a fundamental problem in digital signal processing. In this paper, we consider the following spectral analysis problem...
Daniel Potts, Manfred Tasche
ECCV
2002
Springer
14 years 6 months ago
Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data
Free-form deformations (FFD) constitute an important geometric shape modification method that has been extensively investigated for computer animation and geometric modelling. In t...
Slobodan Ilic, Pascal Fua