article

Billboard clouds for extreme model simplification

Authors:

Xavier Décoret,

François X. Sillion,

Julie DorseyAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 22, Issue 3

Pages 689 - 696

https://doi.org/10.1145/882262.882326

Published: 01 July 2003 Publication History

Abstract

We introduce billboard clouds -- a new approach for extreme simplification in the context of real-time rendering. 3D models are simplified onto a set of planes with texture and transparency maps. We present an optimization approach to build a billboard cloud given a geometric error threshold. After computing an appropriate density function in plane space, a greedy approach is used to select suitable representative planes. A good surface approximation is ensured by favoring planes that are "nearly tangent" to the model. This method does not require connectivity information, but instead avoids cracks by projecting primitives onto multiple planes when needed. For extreme simplification, our approach combines the strengths of mesh decimation and image-based impostors. We demonstrate our technique on a large class of models, including smooth manifolds and composite objects.

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Index Terms

Billboard clouds for extreme model simplification
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 22, Issue 3

July 2003

683 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/882262

Issue’s Table of Contents

Copyright © 2003 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 July 2003

Published in TOG Volume 22, Issue 3

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Wang SQin FTong YShang XZhang Z(2023)Probabilistic Boundary-Guided Point Cloud Primitive Segmentation NetworkIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.332250972(1-13)Online publication date: 2023
https://doi.org/10.1109/TIM.2023.3322509
Hladky JStengel MVining NKerbl BSeidel HSteinberger M(2022)QuadStreamACM Transactions on Graphics10.1145/3550454.355552441:6(1-13)Online publication date: 30-Nov-2022
https://dl.acm.org/doi/10.1145/3550454.3555524
Hurtado JMontenegro AGattass MCarvalho FRaposo A(2022)Enveloping CAD models for visualization and interaction in XR applicationsEngineering with Computers10.1007/s00366-020-01040-938:1(781-799)Online publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1007/s00366-020-01040-9
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Lall PBorac SRichardson DPharr MErnst M(2018)View-Region Optimized Image-Based Scene SimplificationProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/32333111:2(1-22)Online publication date: 24-Aug-2018
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Kaiser AYbanez Zepeda JBoubekeur T(2018)A Survey of Simple Geometric Primitives Detection Methods for Captured 3D DataComputer Graphics Forum10.1111/cgf.1345138:1(167-196)Online publication date: 4-Jul-2018
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