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» Comparison of 3D Segmentation Algorithms for Medical Imaging
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MICCAI
2003
Springer
14 years 8 months ago
A New Brain Segmentation Framework
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
Torsten Butz, Patric Hagmann, Eric Tardif, Reto Me...
SIBGRAPI
2006
IEEE
14 years 1 months ago
Determining the branchings of 3D structures from respective 2D projections
This work describes a new framework for automatic extraction of 2D branching structures images obtained from 3D shapes, such as neurons and retinopathy images. The majority of met...
Jorge J. G. Leandro, Roberto M. Cesar, Luciano da ...
BMVC
2000
13 years 9 months ago
Automatic 3D Modelling of Architecture
This paper describes a system which automatically derives 3D models of architectural scenes from multiple images. This system differs from previous structure from motion algorithm...
Anthony R. Dick, Philip H. S. Torr, Roberto Cipoll...
ECCV
2010
Springer
14 years 1 months ago
Affine Puzzle: Realigning Deformed Object Fragments without Correspondences
This paper is addressing the problem of realigning broken objects without correspondences. We consider linear transformations between the object fragments and present the method ...
Csaba Domokos and Zoltan Kato
IJCV
2002
256views more  IJCV 2002»
13 years 7 months ago
Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques
This paper presents a fast and reliable stereo matching algorithm which produces a dense disparity map by using fast cross correlation, rectangular subregioning (RSR) and 3D maxim...
Changming Sun