Intersection Distance Field Collision for GPU

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dc.contributor.authorKrayer, Bastianen_US
dc.contributor.authorGörge, Rebekkaen_US
dc.contributor.authorMüller, Stefanen_US
dc.contributor.editorYang, Yinen_US
dc.contributor.editorParakkat, Amal D.en_US
dc.contributor.editorDeng, Bailinen_US
dc.contributor.editorNoh, Seung-Taken_US
dc.date.accessioned2022-10-04T06:37:57Z
dc.date.available2022-10-04T06:37:57Z
dc.date.issued2022
dc.description.abstractWe present a framework for finding collision points between objects represented by signed distance fields. Particles are used to sample the region where intersections can occur. The distance field representation is used to project the particles onto the surface of the intersection of both objects. From there information, such as collision normals and intersection depth can be extracted. This allows for handling various types of objects in a unified way. Due to the particle approach, the algorithm is well suited to the GPU.en_US
dc.description.sectionheadersFast Geometric Computation
dc.description.seriesinformationPacific Graphics Short Papers, Posters, and Work-in-Progress Papers
dc.identifier.doi10.2312/pg.20221242
dc.identifier.isbn978-3-03868-190-8
dc.identifier.pages23-28
dc.identifier.pages6 pages
dc.identifier.urihttps://doi.org/10.2312/pg.20221242
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pg20221242
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Collision detection; Mesh geometry models
dc.subjectComputing methodologies → Collision detection
dc.subjectMesh geometry models
dc.titleIntersection Distance Field Collision for GPUen_US
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