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IPMI
2001
Springer
15 years 10 months ago
Multi-scale 3-D Deformable Model Segmentation Based on Medial Description
This paper presents a Bayesian multi-scale three dimensional deformable template approach based on a medial representation for the segmentation and shape characterization of anatom...
Sarang C. Joshi, Stephen M. Pizer, P. Thomas Fletc...
CVPR
2003
IEEE
15 years 11 months ago
Implicit Meshes for Modeling and Reconstruction
Explicit surfaces, such as triangulations or wireframe models, have been extensively used to represent the deformable 3?D models that are used to fit 3?D point and 2?D silhouette ...
Slobodan Ilic, Pascal Fua
ISVC
2009
Springer
15 years 4 months ago
Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster
In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
Aaron Hagan, Ye Zhao
BMVC
2010
14 years 7 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
ICIP
2008
IEEE
15 years 11 months ago
Multiple image disparity correction for 3-D scene representation
This paper analyses the reconstruction of a 3-D scene from multiple images. The proposed approach uses a voxel representation for initializing an implicit radial basis function (R...
Matthew Grum, Adrian G. Bors