Minimum Displacements For Cloth-obstacle Penetration Resolving

dc.contributor.authorSun, Limingen_US
dc.contributor.authorNyberg, Timo R.en_US
dc.contributor.authorXiong, Gangen_US
dc.contributor.authorYe, Juntaoen_US
dc.contributor.editorT. Bashford-Rogers and L. P. Santosen_US
dc.date.accessioned2016-04-26T07:56:13Z
dc.date.available2016-04-26T07:56:13Z
dc.date.issued2016en_US
dc.description.abstractPre-existing penetrations often show up in many applications, particularly in garments fitting. The popular continuous collision detection (CCD) based methods are incapable of handling them, as there is no history information to rely on. On the other hand, surfaces of human bodies have normals defined to designate their orientation (i.e. front- and back-face), which are totally overlooked by CCD methods (thus they are orientation-free). In this paper we present a history-free method for separating two penetrating meshes, given that one of them represents a rigid object and has clarified surface orientation. This method computes all edge-face (E-F) intersections with discrete collision detection, and identifies illegal vertices with the help of surface orientation, and then builds a number of penetration stencils. On response, the stencil vertices are relocated into a penetrationfree state, via a global displacement minimizer. The proposed algorithm outperforms existing methods for handling solid/cloth collisions, thus is an effective tool for applications like virtual-try-on and example-based garment animation synthesis.en_US
dc.description.sectionheadersDeformationen_US
dc.description.seriesinformationEG 2016 - Short Papersen_US
dc.identifier.doi10.2312/egsh.20161013en_US
dc.identifier.issn1017-4656en_US
dc.identifier.pages53-56en_US
dc.identifier.urihttps://doi.org/10.2312/egsh.20161013en_US
dc.publisherThe Eurographics Associationen_US
dc.titleMinimum Displacements For Cloth-obstacle Penetration Resolvingen_US
Files
Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
053-056.pdf
Size:
2.94 MB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
2016eg_short_final.mp4
Size:
10.07 MB
Format:
Unknown data format