SSMTK: Statistical Shape Modelling Toolkit

Abstract: 

This toolkit contains a collection of algorithms, implemented in C++ and Python, used for statistical shape modeling and analysis of 3D surface populations:

  • 3D surface parameterization algorithms for disc, sphere, and cylinder topology
  • 3D surface alignment
  • Parameterization-based MDL correspondence optimization for disc and cylinder topology
  • elasticity and model regularized 3D surface registration
  • GUI for surface annotation
  • Statistical hypothesis testing for surface-based shape analysis
Publications: 
T. Huysmans, Sijbers, J., and Verdonk, B., “Automatic Construction of Correspondences for Tubular Surfaces”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, pp. 636-651, 2010.PDF icon Download paper (3.46 MB)
T. Huysmans, “Parameterization and Correspondence for Improved Modeling, Analysis, and Visualization of Tubular Surfaces.”, University of Antwerp, Antwerp, 2009.PDF icon Download Thesis (40.14 MB)
T. Huysmans, Sijbers, J., and Verdonk, B., “Parameterization of tubular surfaces on the cylinder”, Journal of the Winter School of Computer Graphics, vol. 13, pp. 97-104, 2005.PDF icon Download paper (798.29 KB)
Main researcher(s): 
Daniel Lacko
Femke Danckaers
Toon Huysmans
Research Area: 
Shape Modeling
Research keywords: 
Active shape models
Registration
Shape modeling
Surface Parameterization