Line integral convolution

Results: 12



#Item
1Image-Guided Streamline Placement Greg Turk, University of North Carolina at Chapel Hill David Banks, Mississippi State University Abstract result than a guiding principle in the algorithms. How can the streamlines be po

Image-Guided Streamline Placement Greg Turk, University of North Carolina at Chapel Hill David Banks, Mississippi State University Abstract result than a guiding principle in the algorithms. How can the streamlines be po

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Source URL: www.cs.duke.edu

Language: English - Date: 2003-01-09 08:38:15
2EUROGRAPHICS ’0x / M. Alexa and E. Do (Editors) Volume), Number 0 Drawing with the Flow: A Sketch-Based Interface for

EUROGRAPHICS ’0x / M. Alexa and E. Do (Editors) Volume), Number 0 Drawing with the Flow: A Sketch-Based Interface for

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Source URL: research.cs.umn.edu

Language: English - Date: 2014-03-10 11:49:37
3REAL-TIME ANISOTROPIC FILTERING BASED ON LINE INTEGRAL CONVOLUTION APPROXIMATIONS Benoît Vandame1 1 Canon Research Center France,

REAL-TIME ANISOTROPIC FILTERING BASED ON LINE INTEGRAL CONVOLUTION APPROXIMATIONS Benoît Vandame1 1 Canon Research Center France,

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Source URL: ticsp.cs.tut.fi

- Date: 2008-09-03 05:17:07
    4Scalable Computation of Streamlines on Very Large Datasets ∗ Dave Pugmire Oak Ridge National Laboratory

    Scalable Computation of Streamlines on Very Large Datasets ∗ Dave Pugmire Oak Ridge National Laboratory

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    Source URL: vis.lbl.gov

    Language: English - Date: 2012-02-26 14:12:23
    5Scalable Computation of Streamlines on Very Large Datasets ∗ Dave Pugmire Oak Ridge National Laboratory

    Scalable Computation of Streamlines on Very Large Datasets ∗ Dave Pugmire Oak Ridge National Laboratory

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    Source URL: vis.lbl.gov

    Language: English - Date: 2011-11-18 17:05:18
    6Imaging Vector Fields Using Line Integral Convolution Brian Cabral Leith (Casey) Leedom* Lawrence Livermore National Laboratory ABSTRACT

    Imaging Vector Fields Using Line Integral Convolution Brian Cabral Leith (Casey) Leedom* Lawrence Livermore National Laboratory ABSTRACT

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    Source URL: www8.cs.umu.se

    Language: English - Date: 2000-02-04 01:28:52
    7Fast Oriented Line Integral Convolution for Vector Field Visualization via the Internet Rainer Wegenkittl and Eduard Gr¨oller Institute of Computer Graphics, Vienna University of Technology  Abstract

    Fast Oriented Line Integral Convolution for Vector Field Visualization via the Internet Rainer Wegenkittl and Eduard Gr¨oller Institute of Computer Graphics, Vienna University of Technology  Abstract

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    Source URL: www.cg.tuwien.ac.at

    Language: English - Date: 1997-07-08 08:00:32
    8Multi–Frequency Noise for LIC Ming–Hoe Kiu* and David C. Banks** Abstract We present a way to visualize a flow field using Line Integral Convolution (LIC) with a multi–frequency noise texture. A broad range of feat

    Multi–Frequency Noise for LIC Ming–Hoe Kiu* and David C. Banks** Abstract We present a way to visualize a flow field using Line Integral Convolution (LIC) with a multi–frequency noise texture. A broad range of feat

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    Source URL: lmi.bwh.harvard.edu

    Language: English - Date: 2006-04-24 15:09:27
    9Image-Guided Streamline Placement Greg Turk, University of North Carolina at Chapel Hill David Banks, Mississippi State University Abstract The elegant hand-designed streamline drawings in physics texts (for example in F

    Image-Guided Streamline Placement Greg Turk, University of North Carolina at Chapel Hill David Banks, Mississippi State University Abstract The elegant hand-designed streamline drawings in physics texts (for example in F

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    Source URL: lmi.bwh.harvard.edu

    Language: English - Date: 2006-04-24 15:09:15
    10Lagrangian-Eulerian Advection for Unsteady Flow Visualization Bruno Jobard, Gordon Erlebacher, and M. Yousuff Hussaini

    Lagrangian-Eulerian Advection for Unsteady Flow Visualization Bruno Jobard, Gordon Erlebacher, and M. Yousuff Hussaini

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    Source URL: www.cg.inf.ethz.ch

    Language: English - Date: 2006-04-10 12:24:30