Believability in simplifications of large scale physically based simulation

Handle URI:
http://hdl.handle.net/10754/597663
Title:
Believability in simplifications of large scale physically based simulation
Authors:
Han, Donghui; Hsu, Shu-wei; McNamara, Ann; Keyser, John
Abstract:
We verify two hypotheses which are assumed to be true only intuitively in many rigid body simulations. I: In large scale rigid body simulation, viewers may not be able to perceive distortion incurred by an approximated simulation method. II: Fixing objects under a pile of objects does not affect the visual plausibility. Visual plausibility of scenarios simulated with these hypotheses assumed true are measured using subjective rating from viewers. As expected, analysis of results supports the truthfulness of the hypotheses under certain simulation environments. However, our analysis discovered four factors which may affect the authenticity of these hypotheses: number of collisions simulated simultaneously, homogeneity of colliding object pairs, distance from scene under simulation to camera position, and simulation method used. We also try to find an objective metric of visual plausibility from eye-tracking data collected from viewers. Analysis of these results indicates that eye-tracking does not present a suitable proxy for measuring plausibility or distinguishing between types of simulations. © 2013 ACM.
Citation:
Han D, Hsu S, McNamara A, Keyser J (2013) Believability in simplifications of large scale physically based simulation. Proceedings of the ACM Symposium on Applied Perception - SAP ’13. Available: http://dx.doi.org/10.1145/2492494.2492504.
Publisher:
Association for Computing Machinery (ACM)
Journal:
Proceedings of the ACM Symposium on Applied Perception - SAP '13
KAUST Grant Number:
KUS-CI-016-04
Issue Date:
2013
DOI:
10.1145/2492494.2492504
Type:
Conference Paper
Sponsors:
We first want to thank all reviewers for their insightful comments,and we thank all the volunteers who participated in our study. Thiswork was supported by NSF Grant IIS-0917286. Work supportedin part by Award Number KUS-CI-016-04, made by King AbdullahUniversity of Science and Technology (KAUST).
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Full metadata record

DC FieldValue Language
dc.contributor.authorHan, Donghuien
dc.contributor.authorHsu, Shu-weien
dc.contributor.authorMcNamara, Annen
dc.contributor.authorKeyser, Johnen
dc.date.accessioned2016-02-25T12:43:58Zen
dc.date.available2016-02-25T12:43:58Zen
dc.date.issued2013en
dc.identifier.citationHan D, Hsu S, McNamara A, Keyser J (2013) Believability in simplifications of large scale physically based simulation. Proceedings of the ACM Symposium on Applied Perception - SAP ’13. Available: http://dx.doi.org/10.1145/2492494.2492504.en
dc.identifier.doi10.1145/2492494.2492504en
dc.identifier.urihttp://hdl.handle.net/10754/597663en
dc.description.abstractWe verify two hypotheses which are assumed to be true only intuitively in many rigid body simulations. I: In large scale rigid body simulation, viewers may not be able to perceive distortion incurred by an approximated simulation method. II: Fixing objects under a pile of objects does not affect the visual plausibility. Visual plausibility of scenarios simulated with these hypotheses assumed true are measured using subjective rating from viewers. As expected, analysis of results supports the truthfulness of the hypotheses under certain simulation environments. However, our analysis discovered four factors which may affect the authenticity of these hypotheses: number of collisions simulated simultaneously, homogeneity of colliding object pairs, distance from scene under simulation to camera position, and simulation method used. We also try to find an objective metric of visual plausibility from eye-tracking data collected from viewers. Analysis of these results indicates that eye-tracking does not present a suitable proxy for measuring plausibility or distinguishing between types of simulations. © 2013 ACM.en
dc.description.sponsorshipWe first want to thank all reviewers for their insightful comments,and we thank all the volunteers who participated in our study. Thiswork was supported by NSF Grant IIS-0917286. Work supportedin part by Award Number KUS-CI-016-04, made by King AbdullahUniversity of Science and Technology (KAUST).en
dc.publisherAssociation for Computing Machinery (ACM)en
dc.subject3D graphics and realismen
dc.subjectanimationen
dc.subjectphysically based simulationen
dc.titleBelievability in simplifications of large scale physically based simulationen
dc.typeConference Paperen
dc.identifier.journalProceedings of the ACM Symposium on Applied Perception - SAP '13en
kaust.grant.numberKUS-CI-016-04en
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