Deformation with Enforced Metrics on Length, Area and Volume

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dc.contributor.authorJin, Shuoen_US
dc.contributor.authorZhang, Yunboen_US
dc.contributor.authorWang, Charlie C. L.en_US
dc.contributor.editorB. Levy and J. Kautzen_US
dc.date.accessioned2015-03-03T12:31:21Z
dc.date.available2015-03-03T12:31:21Z
dc.date.issued2014en_US
dc.description.abstractTechniques have been developed to deform a mesh with multiple types of constraints. One limitation of prior methods is that the accuracy of demanded metrics on the resultant model cannot be guaranteed. Adding metrics directly as hard constraints to an optimization functional often leads to unexpected distortion when target metrics differ significant from what are on the input model. In this paper, we present an effective framework to deform mesh models by enforcing demanded metrics on length, area and volume. To approach target metrics stably and minimize distortion, an iterative scale-driven deformation is investigated, and a global optimization functional is exploited to balance the scaling effect at different parts of a model. Examples demonstrate that our approach provides a user-friendly tool for designers who are used to semantic input.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12331en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleDeformation with Enforced Metrics on Length, Area and Volumeen_US
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33-Issue 2
Full Papers 2014 - CGF 33-Issue 2