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Semi-automatic generation of transfer functions for direct volume rendering

Authors:

Gordon Kindlmann,

James W. DurkinAuthors Info & Claims

VVS '98: Proceedings of the 1998 IEEE symposium on Volume visualization

Pages 79 - 86

https://doi.org/10.1145/288126.288167

Published: 01 October 1998 Publication History

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Cited By

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Jadhav STorkaman MTannenbaum ANadeem SKaufman A(2023)Volume Exploration Using Multidimensional Bhattacharyya FlowIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.312791829:3(1651-1663)Online publication date: 1-Mar-2023
https://doi.org/10.1109/TVCG.2021.3127918
Zhou LFan MHansen CJohnson CWeiskopf D(2022)A Review of Three-Dimensional Medical Image VisualizationHealth Data Science10.34133/2022/98405192022Online publication date: Jan-2022
https://doi.org/10.34133/2022/9840519
Patel DHöllt THadwiger M(2022)Real-Time Algorithms for Visualizing and Processing Seismic and Reservoir DataInteractive Data Processing and 3D Visualization of the Solid Earth10.1007/978-3-030-90716-7_2(45-78)Online publication date: 21-Feb-2022
https://doi.org/10.1007/978-3-030-90716-7_2
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Index Terms

Semi-automatic generation of transfer functions for direct volume rendering
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation
    2. Shape modeling
2. Theory of computation
  1. Randomness, geometry and discrete structures
    1. Computational geometry

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Information

Published In

VVS '98: Proceedings of the 1998 IEEE symposium on Volume visualization

October 1998

178 pages

ISBN:1581131054

DOI:10.1145/288126

Chairmen:
Arie Kaufman
State Univ. of New York at Stony Brook
,
Roni Yagel
Biomedicom and The Ohio State Univ.
,
William E. Lorensen
GE Corporate Research and Development

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 1998

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SIGGRAPH
IEEE-CS

VolVis98: 1998 IEEE Volume Visualization Symposium

October 19 - 20, 1998

North Carolina, Research Triangle Park, USA

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Cited By

View all

Jadhav STorkaman MTannenbaum ANadeem SKaufman A(2023)Volume Exploration Using Multidimensional Bhattacharyya FlowIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.312791829:3(1651-1663)Online publication date: 1-Mar-2023
https://doi.org/10.1109/TVCG.2021.3127918
Zhou LFan MHansen CJohnson CWeiskopf D(2022)A Review of Three-Dimensional Medical Image VisualizationHealth Data Science10.34133/2022/98405192022Online publication date: Jan-2022
https://doi.org/10.34133/2022/9840519
Patel DHöllt THadwiger M(2022)Real-Time Algorithms for Visualizing and Processing Seismic and Reservoir DataInteractive Data Processing and 3D Visualization of the Solid Earth10.1007/978-3-030-90716-7_2(45-78)Online publication date: 21-Feb-2022
https://doi.org/10.1007/978-3-030-90716-7_2
Kim SJang Y(2021)TF color mapping for direct volume rendering with CNNJournal of the Korea Computer Graphics Society10.15701/kcgs.2021.27.5.2527:5(25-32)Online publication date: 30-Nov-2021
https://doi.org/10.15701/kcgs.2021.27.5.25
Guntoro PGhorbani YParian MButcher AKuva JRosenkranz J(2021)Development and experimental validation of a texture-based 3D liberation modelMinerals Engineering10.1016/j.mineng.2021.106828164(106828)Online publication date: Apr-2021
https://doi.org/10.1016/j.mineng.2021.106828
He XYang STao YDai HLin H(2021)Graph convolutional network-based semi-supervised feature classification of volumesJournal of Visualization10.1007/s12650-021-00787-725:2(379-393)Online publication date: 30-Sep-2021
https://doi.org/10.1007/s12650-021-00787-7
Ma JChen JChen LZhou XQin XTang YSun GChen J(2021)Gaussian mixture model-based target feature extraction and visualizationJournal of Visualization10.1007/s12650-020-00724-024:3(545-563)Online publication date: 3-Jan-2021
https://doi.org/10.1007/s12650-020-00724-0
Salhi MKsantini RZouari B(2021)A real-time image-centric transfer function design based on incremental classificationJournal of Real-Time Image Processing10.1007/s11554-021-01176-xOnline publication date: 19-Oct-2021
https://doi.org/10.1007/s11554-021-01176-x
Fu JZhang WCao Y(2020)Fusion of 3D Medical ROIs based on Transfer FunctionsProceedings of the 2020 12th International Conference on Bioinformatics and Biomedical Technology10.1145/3405758.3405765(67-73)Online publication date: 22-May-2020
https://dl.acm.org/doi/10.1145/3405758.3405765
Wang XYin JCheng BQin J(2020)Colormap optimization with data equalityJournal of Visualization10.1007/s12650-020-00691-624:1(191-203)Online publication date: 11-Sep-2020
https://doi.org/10.1007/s12650-020-00691-6
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