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» Building Shape Models from Lousy Data
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MICCAI
2009
Springer
15 years 11 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
WSCG
2004
232views more  WSCG 2004»
14 years 11 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...

Publication
372views
15 years 11 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
DAGM
2003
Springer
15 years 3 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
ECCV
2002
Springer
15 years 11 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