Shape Modeling

Shape Modeling targets the description of the shape variation present in a population of scans with so called statistical shape models'. A major challenge in building shape models is finding correspondences between the scans. At the Vision Lab, two classes of correspondence methods are researched. On the one hand, group-wise correspondence methods based on surface parameterization, with a focus on elongated surfaces or surfaces of cylindrical topology, have been developed. On the other hand, research is done on the use of elastic surface registration to find pairwise correspondences. Next to the fundamental research, Vision Lab also focuses on applying shape models for improving fit and function of products that are worn close to or in the human body, e.g. protective gear, head sets, and implants.

Journal publications

2012

2011

2010

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)

2009

2007

Z. Mai, Huysmans, T., and Sijbers, J., Colon Visualization Using Cylindrical Parameterization, Lecture Notes in Computer Science, vol. 4678, pp. 607-615, 2007.PDF icon Full text (1.44 MB)

2006

2005

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)

Pages