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Article

Perceptually guided simplification of lit, textured meshes

Authors:

Nathaniel Williams,

Jonathan D. Cohen,

Michael Kelley,

Brenden SchubertAuthors Info & Claims

I3D '03: Proceedings of the 2003 symposium on Interactive 3D graphics

Pages 113 - 121

https://doi.org/10.1145/641480.641503

Published: 27 April 2003 Publication History

Abstract

We present a new algorithm for best-effort simplification of polygonal meshes based on principles of visual perception. Building on previous work, we use a simple model of low-level human vision to estimate the perceptibility of local simplification operations in a view-dependent Multi-Triangulation structure. Our algorithm improves on prior perceptual simplification approaches by accounting for textured models and dynamic lighting effects. We also model more accurately the scale of visual changes resulting from simplification, using parametric texture deviation to bound the size (represented as spatial frequency) of features destroyed, created, or altered by simplifying the mesh. The resulting algorithm displays many desirable properties: it is view-dependent, sensitive to silhouettes, sensitive to underlying texture content, and sensitive to illumination (for example, preserving detail near highlight and shadow boundaries, while aggressively simplifying washed-out regions). Using a unified perceptual model to evaluate these effects automatically accounts for their relative importance and balances between them, overcoming the need for ad hoc or hand-tuned heuristics.

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Cited By

Li YQi YWang CBao Y(2023)A Cluster-Based 3D Reconstruction System for Large-Scale ScenesSensors10.3390/s2305237723:5(2377)Online publication date: 21-Feb-2023
https://doi.org/10.3390/s23052377
Liu ZZhang CCai HQv WZhang S(2022)A Model Simplification Algorithm for 3D ReconstructionRemote Sensing10.3390/rs1417421614:17(4216)Online publication date: 26-Aug-2022
https://doi.org/10.3390/rs14174216
Xian YFan YHuang YWang GTu CMeng XPeng J(2020)Mesh Simplification With Appearance-Driven OptimizationsIEEE Access10.1109/ACCESS.2020.29879398(165769-165778)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2987939
Show More Cited By

Index Terms

Perceptually guided simplification of lit, textured meshes
1. Computing methodologies
  1. Computer graphics
    1. Shape modeling
2. Theory of computation
  1. Randomness, geometry and discrete structures

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Published In

cover image ACM Conferences

I3D '03: Proceedings of the 2003 symposium on Interactive 3D graphics

April 2003

249 pages

ISBN:1581136455

DOI:10.1145/641480

Conference Chairs:
Michael Zyda
The MOVES Institute
,
Michael Capps
Scion Studios
,
Program Chairs:
Randy Pausch
Carnegie-Mellon University
,
Gary Bishop
University of North Carolina Chapel Hill

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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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 April 2003

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I3D03

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SIGGRAPH

I3D03: ACM Symposium on Interactive 3D Graphics

April 27 - 30, 2003

California, Monterey

Acceptance Rates

I3D '03 Paper Acceptance Rate 27 of 102 submissions, 26%;

Overall Acceptance Rate 148 of 485 submissions, 31%

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Cited By

Li YQi YWang CBao Y(2023)A Cluster-Based 3D Reconstruction System for Large-Scale ScenesSensors10.3390/s2305237723:5(2377)Online publication date: 21-Feb-2023
https://doi.org/10.3390/s23052377
Liu ZZhang CCai HQv WZhang S(2022)A Model Simplification Algorithm for 3D ReconstructionRemote Sensing10.3390/rs1417421614:17(4216)Online publication date: 26-Aug-2022
https://doi.org/10.3390/rs14174216
Xian YFan YHuang YWang GTu CMeng XPeng J(2020)Mesh Simplification With Appearance-Driven OptimizationsIEEE Access10.1109/ACCESS.2020.29879398(165769-165778)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2987939
Bektaş KÇöltekin AKrüger JDuchowski AFabrikant SKrejtz KSharif B(2019)GeoGCDProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3317959.3321488(1-10)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3317959.3321488
She JGu XTan JTong MWang C(2019)An appearance‐preserving simplification method for complex 3D building modelsTransactions in GIS10.1111/tgis.1251823:2(275-293)Online publication date: 5-Feb-2019
https://doi.org/10.1111/tgis.12518
Wolski KGiunchi DKinuwaki SDidyk PMyszkowski KSteed AMantiuk R(2019)Selecting texture resolution using a task‐specific visibility metricComputer Graphics Forum10.1111/cgf.1387138:7(685-696)Online publication date: 14-Nov-2019
https://doi.org/10.1111/cgf.13871
Liu HTao MJacobson A(2018)PaparazziACM Transactions on Graphics10.1145/3272127.327504737:6(1-11)Online publication date: 4-Dec-2018
https://dl.acm.org/doi/10.1145/3272127.3275047
Lambert TBénard PGuennebaud G(2018)A View-Dependent Metric for Patch-Based LOD Generation 8 SelectionProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/32031951:1(1-21)Online publication date: 25-Jul-2018
https://dl.acm.org/doi/10.1145/3203195
Vanhoey KSauvage BKraemer PLavoué G(2017)Visual Quality Assessment of 3D ModelsACM Transactions on Applied Perception10.1145/312950515:1(1-18)Online publication date: 6-Oct-2017
https://dl.acm.org/doi/10.1145/3129505
Weier MStengel MRoth TDidyk PEisemann EEisemann MGrogorick SHinkenjann AKruijff EMagnor MMyszkowski KSlusallek P(2017)Perception-driven Accelerated RenderingComputer Graphics Forum10.1111/cgf.1315036:2(611-643)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1111/cgf.13150
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