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, J. Sijbers, and B. Verdonk, "Automatic Construction of Correspondences for Tubular Surfaces", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 4, pp. 636-651, 2010. Full text (3.67 MB)
T. Huysmans, J. Sijbers, and B. Verdonk, "Parameterization of tubular surfaces on the cylinder", Journal of the Winter School of Computer Graphics, vol. 13, no. 3, pp. 97-104, 2005. Full text (447.09 KB)
Research Area: