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https://dx.doi.org/10.48550/ar...
Article . 2021
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2021
Data sources: DBLP
DBLP
Article . 2022
Data sources: DBLP
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PAVEL: Decorative Patterns with Packed Volumetric Elements

Authors: Filippo Andrea Fanni; Fabio Pellacini; Riccardo Scateni; Andrea Giachetti 0001;

PAVEL: Decorative Patterns with Packed Volumetric Elements

Abstract

Many real-world hand-crafted objects are decorated with elements that are packed onto the object’s surface and deformed to cover it as much as possible. Examples are artisanal ceramics and metal jewelry. Inspired by these objects, we present a method to enrich surfaces with packed volumetric decorations. Our algorithm works by first determining the locations in which to add the decorative elements and then removing the non-physical overlap between them while preserving the decoration volume. For the placement, we support several strategies depending on the desired overall motif. To remove the overlap, we use an approach based on implicit deformable models creating the qualitative effect of plastic warping while avoiding expensive and hard-to-control physical simulations. Our decorative elements can be used to enhance virtual surfaces, as well as 3D-printed pieces, by assembling the decorations onto real surfaces to obtain tangible reproductions.

Country
Italy
Keywords

FOS: Computer and information sciences, artistic design; shape deformation, Computer Science - Graphics, Computer Graphics, Appearance Design, Pattern Design, Decoration, Design. Implicit methods, point sampling, Computer Graphics; Appearance Design; Pattern Design, Graphics (cs.GR)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
6
Top 10%
Average
Top 10%
131
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bronze