A Bayesian Interactive Optimization Approach to Procedural Animation Design

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dc.contributor.authorBrochu, Ericen_US
dc.contributor.authorBrochu, Tysonen_US
dc.contributor.authorFreitas, Nando deen_US
dc.contributor.editorMZoran Popovic and Miguel Otaduyen_US
dc.date.accessioned2014-01-29T07:51:17Z
dc.date.available2014-01-29T07:51:17Z
dc.date.issued2010en_US
dc.description.abstracteters. In many cases, the models are complex and the parameters unintuitive for non-experts. In this paper, we present an optimization method for setting parameters of a procedural fluid animation system by showing the user examples of different parametrized animations and asking for feedback. Our method employs the Bayesian technique of bringing in prior belief based on previous runs of the system and/or expert knowledge, to assist users in finding good parameter settings in as few steps as possible. To do this, we introduce novel extensions to Bayesian optimization, which permit effective learning for parameter-based procedural animation applications. We show that even when users are trying to find a variety of different target animations, the system can learn and improve. We demonstrate the effectiveness of our method compared to related active learning methods. We also present a working application for assisting animators in the challenging task of designing curl-based velocity fields, even with minimal domain knowledge other than identifying when a simulation looks right .en_US
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animationen_US
dc.identifier.isbn978-3-905674-27-9en_US
dc.identifier.issn1727-5288en_US
dc.identifier.urihttps://doi.org/10.2312/SCA/SCA10/103-112en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Learning [I.2.6]: Parameter Learning.-User Interfaces [H.5.2]: Interaction Styles.-Three-Dimensional Graphics and Realism [I.3.7]: Animationen_US
dc.titleA Bayesian Interactive Optimization Approach to Procedural Animation Designen_US
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