Collision-Aware and Online Compression of Rigid Body Simulations via Integrated Error Minimization

dc.contributor.authorJeruzalski, Timothyen_US
dc.contributor.authorKanji, Johnen_US
dc.contributor.authorJacobson, Alecen_US
dc.contributor.authorLevin, David I. W.en_US
dc.contributor.editorThuerey, Nils and Beeler, Thaboen_US
dc.date.accessioned2018-07-23T10:06:24Z
dc.date.available2018-07-23T10:06:24Z
dc.date.issued2018
dc.description.abstractMethods to compress simulation data are invaluable as they facilitate efficient transmission along the visual effects pipeline, fast and efficient replay of simulations for visualization and enable storage of scientific data. However, all current approaches to compressing simulation data require access to the entire dynamic simulation, leading to large memory requirements and additional computational burden. In this paper we perform compression of contact-dominated, rigid body simulations in an online, error-bounded fashion. This has the advantage of requiring access to only a narrow window of simulation data at a time while still achieving good agreement with the original simulation. Our approach is simulator agnostic allowing us to compress data from a variety of sources. We demonstrate the efficacy of our algorithm by compressing contact-dominated rigid body simulations from a number of sources, achieving compression rates of up to 360 times over raw data size.en_US
dc.description.number8
dc.description.sectionheadersContact, Cloth, Collisions
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13508
dc.identifier.issn1467-8659
dc.identifier.pages11-20
dc.identifier.urihttps://doi.org/10.1111/cgf.13508
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13508
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectAnimation
dc.subjectSimulation tools
dc.subjectPhysical simulation
dc.titleCollision-Aware and Online Compression of Rigid Body Simulations via Integrated Error Minimizationen_US
Files
Collections