Interactive and Accurate Collision Detection in Virtual Orthodontics

dc.contributor.authorRodrigues, Maria Andréia F.en_US
dc.contributor.authorRocha, Rafael S.en_US
dc.contributor.authorSilva, Wendel B.en_US
dc.contributor.editorRobert van Liere and Betty Mohleren_US
dc.date.accessioned2014-01-27T11:01:26Z
dc.date.available2014-01-27T11:01:26Z
dc.date.issued2008en_US
dc.description.abstractAn interactive computer-based training tool for using in Orthodontics is aimed at students and experienced professionals who need to predict orthodontic treatment outcomes, including the determination whether and where the teeth are coming into contact. Fundamental to achieve the best possible fit is the relative position of the teeth within the dental arch and with the opposing arches. In this paper we present the implementation and analysis of different types of discrete and continuous collision detection algorithms that meet performance goals, suitable for moving teeth simulation. The obtained results show that the collision detection algorithms implemented using Sphere-Trees provide quite acceptable accuracy while maintaining interactive visualization.en_US
dc.description.seriesinformationEurographics Symposium on Virtual Environmentsen_US
dc.identifier.isbn978-3-905674-06-4en_US
dc.identifier.issn1727-530Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGVE/EGVE08/065-072en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.8 [Computer Graphics]: Applications I.3.7 [Threedimensional Graphics and Realism]: Virtual Realityen_US
dc.titleInteractive and Accurate Collision Detection in Virtual Orthodonticsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
065-072.pdf
Size:
244.06 KB
Format:
Adobe Portable Document Format