Probabilistic view-based 3D curve skeleton computation on the GPU

J. Kustra, A.C. Jalba, A.C. Telea

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationVISAPP 2013 : Proceedings of the International Conference on Computer Vision Theory and Applications, Barcelona, Spain, February 21-24, 2013
PublisherINSTICC Press
Pages237-246
Volume2
ISBN (Print)978-989856547-1
Publication statusPublished - 2013
Event8th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2013) - Barcelona, Spain
Duration: 21 Feb 201324 Feb 2013
Conference number: 8
http://www.visigrapp.org/?y=2013

Conference

Conference8th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2013)
Abbreviated titleVISIGRAPP 2013
CountrySpain
CityBarcelona
Period21/02/1324/02/13
Internet address

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    Kustra, J., Jalba, A. C., & Telea, A. C. (2013). Probabilistic view-based 3D curve skeleton computation on the GPU. In VISAPP 2013 : Proceedings of the International Conference on Computer Vision Theory and Applications, Barcelona, Spain, February 21-24, 2013 (Vol. 2, pp. 237-246). INSTICC Press.