CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Minimum Displacements For Cloth-obstacle Penetration Resolving
Sun, Liming; Nyberg, Timo R.; Xiong, Gang; Ye, Juntao
2016
Conference NameThe 37th EuroGraphics
Source Publication国际会议
Conference Date2016.5.9 - 2016.5.13
Conference PlaceLisbon, Portugal
Abstract
Pre-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.
KeywordPre-existing Penetrations Penetration Resolving Discrete Collision Detection Surface Orientation
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11530
Collection模式识别国家重点实验室_多媒体计算与图形学
Corresponding AuthorYe, Juntao
Recommended Citation
GB/T 7714
Sun, Liming,Nyberg, Timo R.,Xiong, Gang,et al. Minimum Displacements For Cloth-obstacle Penetration Resolving[C],2016.
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