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Computer Graphics Forum
Article . 2004 . Peer-reviewed
License: Wiley Online Library User Agreement
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Computing Maximal Tiles and Application to Impostor‐Based Simplification

Authors: Andújar Gran, Carlos Antonio; Brunet Crosa, Pere; Chica Calaf, Antonio; Navazo Álvaro, Isabel; Rossignac, Jarek; Vinacua Pla, Álvaro;

Computing Maximal Tiles and Application to Impostor‐Based Simplification

Abstract

Abstract The computation of the largest planar region approximating a 3D object is an important problem with wide applications in modeling and rendering. Given a voxelization of the 3D object, we propose an efficient algorithm to solve a discrete version of this problem. The input of the algorithm is the set of grid edges connecting the interior and the exterior of the object (called sticks). Using a voting‐based approach, we compute the plane that slices the largest number of sticks and is orientation‐compatible with these sticks. The robustness and efficiency of our approach rests on the use of two different parameterizations of the planes with suitable properties. The first of these is exact and is used to retrieve precomputed local solutions of the problem. The second one is discrete and is used in a hierarchical voting scheme to compute the global maximum. This problem has diverse applications that range from finding object signatures to generating simplified models. Here we demonstrate the merits of the algorithm for efficiently computing an optimized set of textured impostors for a given polygonal model. Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling

Keywords

Infografia tridimensional, :Informàtica::Infografia [Àrees temàtiques de la UPC], Approximation theory, Àrees temàtiques de la UPC::Informàtica::Infografia, Computational geometry, Geometria computacional, Three dimensional imaging, Image resolution, Rendering (Computer graphics), Solid modelling, Image texture

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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
7
Average
Top 10%
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54
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