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» Extending Superquadrics with Exponent Functions: Modeling an...
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AIIA
2003
Springer
14 years 2 months ago
A Neural Architecture for Segmentation and Modelling of Range Data
A novel, two stage, neural architecture for the segmentation of range data and their modeling with undeformed superquadrics is presented. The system is composed by two distinct neu...
Roberto Pirrone, Antonio Chella
ICIP
2009
IEEE
13 years 9 months ago
Genetic algorithms for 3d reconstruction with supershapes
Supershape model is a recent primitive that represents numerous 3D shapes with several symmetry axes. The main interest of this model is its capability to reconstruct more complex...
Sophie Voisin, Mongi A. Abidi, Sebti Foufou, Fr&ea...
ICIP
2005
IEEE
15 years 26 days ago
Image acquisition modeling for super-resolution reconstruction
Super-resolution reconstruction is the process of reconstructing a high-resolution image from multiple low-resolution images. Most super-resolution reconstruction methods neglect ...
Murat Gevrekci, Bahadir K. Gunturk
TMI
2008
116views more  TMI 2008»
13 years 11 months ago
Dynamic PET Reconstruction Using Wavelet Regularization With Adapted Basis Functions
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
J. Verhaeghe, Dimitri Van De Ville, I. Khalidov, Y...