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» Modelling perception using image processing algorithms
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193
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CVRMED
1997
Springer
15 years 7 months ago
Volumetric medical images segmentation using shape constrained deformable models
In this paper we address the problem of extracting geometric models from low contrast volumetric images, given a template or reference shape of that model. We proceed by deforming...
Johan Montagnat, Hervé Delingette
286
Voted
ICIAP
2007
ACM
15 years 7 months ago
Ball Position and Motion Reconstruction from Blur in a Single Perspective Image
We consider the problem of localizing a moving ball from a single calibrated perspective image; after showing that ordinary algorithms fail in analyzing motion blurred scenes, we ...
Giacomo Boracchi, Vincenzo Caglioti, Alessandro Gi...
122
Voted
ICIP
2006
IEEE
16 years 5 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
140
Voted
SCIA
2005
Springer
113views Image Analysis» more  SCIA 2005»
15 years 9 months ago
Segmentation of Medical Images Using Three-Dimensional Active Shape Models
In this paper a fully automated segmentation system for the femur in the knee in Magnetic Resonance Images and the brain in Single Photon Emission Computed Tomography images is pr...
Klas Josephson, Anders Ericsson, Johan Karlsson
166
Voted
ICVGIP
2008
15 years 5 months ago
Monocular Depth by Nonlinear Diffusion
Following the phenomenological approach of gestaltists, sparse monocular depth cues such as T- and X-junctions and the local convexity are crucial to identify the shape and depth ...
Jean-Michel Morel, Philippe Salembier