research-article

Neural modeling of flow rendering effectiveness

Authors:

Colin WareAuthors Info & Claims

APGV '08: Proceedings of the 5th symposium on Applied perception in graphics and visualization

Pages 171 - 178

https://doi.org/10.1145/1394281.1394313

Published: 09 August 2008 Publication History

Abstract

It has been previously proposed that understanding the mechanisms of contour perception can provide a theory for why some flow rendering methods allow for better judgments of advection pathways than others. In the present paper we develop this theory through a numerical model of the primary visual cortex of the brain (Visual Area 1) where contour enhancement is understood to occur according to most neurological theories. We apply a two-stage model of contour perception to various visual representations of flow fields evaluated by Laidlaw et al [2001]. In the first stage, contour enhancement is modeled based on Li's [1998] cortical model. In the second stage, a model of contour integration is proposed designed to support the task of advection path tracing. The model yields insights into the relative strengths of different flow visualization methods for the task of visualizing advection pathways.

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Cited By

Lobo MTelea AHurter C(2020)Feature Driven Combination of Animated Vector Field VisualizationsComputer Graphics Forum10.1111/cgf.1399239:3(429-441)Online publication date: 18-Jul-2020
https://doi.org/10.1111/cgf.13992
Ware CBolan DMiller RRogers DAhrens JJain EJoerg S(2016)Animated versus static views of steady flow patternsProceedings of the ACM Symposium on Applied Perception10.1145/2931002.2931012(77-84)Online publication date: 22-Jul-2016
https://dl.acm.org/doi/10.1145/2931002.2931012
Matvienko VKruger J(2015)Explicit frequency control for high-quality texture-based flow visualizationProceedings of the 2015 IEEE Scientific Visualization Conference (SciVis)10.1109/SciVis.2015.7429490(41-48)Online publication date: 25-Oct-2015
https://dl.acm.org/doi/10.1109/SciVis.2015.7429490
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Index Terms

Neural modeling of flow rendering effectiveness
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

APGV '08: Proceedings of the 5th symposium on Applied perception in graphics and visualization

August 2008

209 pages

ISBN:9781595939814

DOI:10.1145/1394281

Program Chairs:
Sarah Creem-Regehr
University of Utah
,
Karol Myszkowski
MPI Informatik

Copyright © 2008 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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Published: 09 August 2008

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APGV08: ACM Symposium on Applied Perception in Graphics and Visualization

August 9 - 10, 2008

California, Los Angeles

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Overall Acceptance Rate 19 of 33 submissions, 58%

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Cited By

Lobo MTelea AHurter C(2020)Feature Driven Combination of Animated Vector Field VisualizationsComputer Graphics Forum10.1111/cgf.1399239:3(429-441)Online publication date: 18-Jul-2020
https://doi.org/10.1111/cgf.13992
Ware CBolan DMiller RRogers DAhrens JJain EJoerg S(2016)Animated versus static views of steady flow patternsProceedings of the ACM Symposium on Applied Perception10.1145/2931002.2931012(77-84)Online publication date: 22-Jul-2016
https://dl.acm.org/doi/10.1145/2931002.2931012
Matvienko VKruger J(2015)Explicit frequency control for high-quality texture-based flow visualizationProceedings of the 2015 IEEE Scientific Visualization Conference (SciVis)10.1109/SciVis.2015.7429490(41-48)Online publication date: 25-Oct-2015
https://dl.acm.org/doi/10.1109/SciVis.2015.7429490
Matvienko VKruger J(2013)A Metric for the Evaluation of Dense Vector Field VisualizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2012.17019:7(1122-1132)Online publication date: 1-Jul-2013
https://dl.acm.org/doi/10.1109/TVCG.2012.170
Pineo DWare C(2012)Data Visualization Optimization via Computational Modeling of PerceptionIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2011.5218:2(309-320)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1109/TVCG.2011.52
You LPollack KLong DGopinath K(2011)PRESIDIOACM Transactions on Storage10.1145/1970348.19703517:2(1-60)Online publication date: 1-Jul-2011
https://dl.acm.org/doi/10.1145/1970348.1970351
Shin DYu YKim HEom HYeom H(2011)Request Bridging and InterleavingACM Transactions on Storage10.1145/1970348.19703497:2(1-31)Online publication date: 1-Jul-2011
https://dl.acm.org/doi/10.1145/1970348.1970349
Chen LPu P(2010)Experiments on the preference-based organization interface in recommender systemsACM Transactions on Computer-Human Interaction10.1145/1721831.172183617:1(1-33)Online publication date: 6-Apr-2010
https://dl.acm.org/doi/10.1145/1721831.1721836
Woodbridge JNahapetian ANoshadi HSarrafzadeh MKaiser W(2009)Wireless health and the smart phone conundrumACM SIGBED Review10.1145/1859823.18598346:2(1-6)Online publication date: 1-Jul-2009
https://dl.acm.org/doi/10.1145/1859823.1859834
Eklund JMcGregor C(2009)Standards for physiological data transmission and archiving for the support of the service of critical careACM SIGBED Review10.1145/1859823.18598326:2(1-6)Online publication date: 1-Jul-2009
https://dl.acm.org/doi/10.1145/1859823.1859832
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