Probabilistic View-based 3D Curve Skeleton Computation on the GPU

Jacek Kustra, Andrei Jalba, Alexandru Telea
Institute Johann Bernoulli, University of Groningen, Nijenborgh 9, Groningen, the Netherlands
8th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP’13), 2013


   title={Probabilistic View-based 3D Curve Skeleton Computation on the GPU},

   author={Kustra, J. and Jalba, A. and Telea, A.},



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Computing curve skeletons of 3D shapes is a challenging task. Recently, a high-potential technique for this task was proposed, based on integrating medial information obtained from several 2D projections of a 3D shape (Livesu et al., 2012). However effective, this technique is strongly influenced in terms of complexity by the quality of a so-called skeleton probability volume, which encodes potential 3D curve-skeleton locations. In this paper, we extend the above method to deliver a highly accurate and discriminative curve-skeleton probability volume. For this, we analyze the error sources of the original technique, and propose improvements in terms of accuracy, culling false positives, and speed. We show that our technique can deliver point-cloud curve-skeletons which are close to the desired locations, even in the absence of complex postprocessing. We demonstrate our technique on several 3D models.
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