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» Building Shape Models from Lousy Data
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117
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MICCAI
2009
Springer
16 years 4 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
116
Voted
WSCG
2004
232views more  WSCG 2004»
15 years 5 months ago
3D Shape Extraction Using Photographic Tomography with Its Applications
Tomographic imaging is a technique for exploration of a cross-section of an inspected object without destruction. Normally, the input data, known as the projections, are gathered ...
S. Reruang, Withawat Withayachumnankul, Chuchart P...
194
Voted

Publication
372views
16 years 4 months ago
Multi-Objects Interpretation
We describe a general-purpose method for the accurate and robust interpretation of a data set of p-dimensional points by several deformable prototypes. This method is based on the ...
Jean-Philippe Tarel
143
Voted
DAGM
2003
Springer
15 years 8 months ago
3D Reconstruction of Human Skeleton from Single Images or Monocular Video Sequences
In this paper, we first review the approaches to recover 3D shape and related movements of a human and then we present an easy and reliable approach to recover a 3D model using jus...
Fabio Remondino, Andreas Roditakis
133
Voted
ECCV
2002
Springer
16 years 5 months ago
Building Roadmaps of Local Minima of Visual Models
Getting trapped in suboptimal local minima is a perennial problem in model based vision, especially in applications like monocular human body tracking where complex nonlinear para...
Cristian Sminchisescu, Bill Triggs