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Multi-dimensional trees for controlled volume rendering and compression

Authors:

Jane Wilhelms,

Allen Van GelderAuthors Info & Claims

VVS '94: Proceedings of the 1994 symposium on Volume visualization

Pages 27 - 34

https://doi.org/10.1145/197938.197956

Published: 17 October 1994 Publication History

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References

[1]

[1] Judy Challinger. Scalable parallel volume raycasting for nonrectilinear computational grids. In IEEE Parallel Visualization Workshop, October 1993.

Google Scholar

[2]

[2] C. K. Chui. An Introduction to Wavelets. Academic Press, Inc., 1992.

Digital Library

Google Scholar

[3]

[3] Robert A. Drebin, Elliot K. Fishman, and Donna Magid. Volumetric three-dimensional image rendering: Thresholding vs. non-thresholding techniques. Radiology , 165:131, 1987.

Google Scholar

[4]

[4] Thomas Funkhouser and Carlo Sequin. Adaptive display algorithm for interactive frame rates during visualization of complex virtual environments. Computer Graphics (ACM Siggraph Proceedings), 27(4):247-254, August 1993.

Digital Library

Google Scholar

[5]

[5] Steven J. Gortler, Peter Schroeder, Michael F. Cohen, and Pat Hanrahan. Wavelet radiosity. Computer Graphics (ACM Siggraph Proceedings), 27(4):221-230, August 1993.

Digital Library

Google Scholar

[6]

[6] David Laur and Pat Hanrahan. Hierarchical splatting: A progressive refinement algorithm for volume rendering. Computer Graphics (ACM Siggraph Proceedings), 25(4):285-288, July 1991.

Digital Library

Google Scholar

[7]

[7] Marc Levoy. Efficient ray tracing of volume datat. ACM Transactions on Graphics, 9(3):245-261, July 1990.

Digital Library

Google Scholar

[8]

[8] Marc Levoy. Volume rendering using the fourier projection-slice theorem. In Proceedings of Graphics Interface '92, Vancouver, B.C., 1992. Also Stanford University Technical Report CSL-TR-92-521.

Digital Library

Google Scholar

[9]

[9] S. G. Mallat. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(7):674-693, 1989.

Digital Library

Google Scholar

[10]

[10] Tom Malzbender. Fourier volume rendering. ACM Transactions on Graphics, 12(3):233-250, July 1993.

Digital Library

Google Scholar

[11]

[11] Donald J. Meagher. Geometric modeling using octree encoding. Computer Graphics and Image Processing, 19:129-147, 1982.

Crossref

Google Scholar

[12]

[12] Shigeru Muraki. Volume data and wavelet transforms. IEEE Computer Graphics and Applications, 13(4):50- 56, July 1993.

Digital Library

Google Scholar

[13]

[13] Paul Ning and Lambertus Hesselink. Vector quantization for volume rendering. In Visualization '93, San Jose, Ca, October 1993. IEEE.

Digital Library

Google Scholar

[14]

[14] Peter Shirley and Allan Tuchman. A polygonal approximation to direct scalar volume rendering. Computer Graphics, 24(5):63-70, December 1990.

Digital Library

Google Scholar

[15]

[15] Allen Van Gelder and Jane Wilhelms. Rapid exploration of curvilinear grids using direct volume rendering. In Visualization 93 Conference, San Jose, CA, October 1993. IEEE. (extended abstract) Also, University of California technical report UCSC-CRL-93-02.

Digital Library

Google Scholar

[16]

[16] Lee Westover. Footprint evaluation for volume rendering. Computer Graphics, 24(4):367-76, August 1990.

Digital Library

Google Scholar

[17]

[17] Jane Wilhelms and Allen Van Gelder. A coherent projection approach for direct volume rendering. Computer Graphics (Proceedings ACM Siggraph), 25(4):275-284, 1991.

Digital Library

Google Scholar

[18]

[18] Jane Wilhelms and Allen Van Gelder. Octrees for faster isosurface generation. ACM Transactions on Graphics, 11(3):201-227, July 1992. Extended abstract in ACM Computer Graphics 24(5) 57-62; also UCSC technical report UCSC-CRL-90-28.

Digital Library

Google Scholar

[19]

[19] Jane Wilhelms and Allen Van Gelder. Multi-dimensional trees for controlled volume rendering and compression. Technical Report UCSC-CRL-94-02, CIS Board, University of California, Santa Cruz, January 1994.

Digital Library

Google Scholar

[20]

[20] Jane Wilhelms, Allen Van Gelder, Tom Goodman, Orion Wilson, Ron MacCracken, and Andy John. Design decisions for a direct volume renderer user interface - some whys and hows. In SPIE Conference on Electronic Imaging, pages 102-113, San Jose, California, February 1994.

Google Scholar

[21]

[21] Peter Williams. Interactive splatting of nonrectilinear volumes. In Visualization '92, pages 37-44. IEEE, October 1992.

Digital Library

Google Scholar

[22]

[22] Orion Wilson, Allen Van Gelder, and Jane Wilhelms. Direct volume rendering via 3d textures. Technical Report UCSC-CRL-94-19, CIS Board, University of California, Santa Cruz, 1994. (submitted for publication).

Digital Library

Google Scholar

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Multi-dimensional trees for controlled volume rendering and compression

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Information

Published In

VVS '94: Proceedings of the 1994 symposium on Volume visualization

October 1994

132 pages

ISBN:0897917413

DOI:10.1145/197938

Editors:
Arie Kaufman
State Univ. of New York at Stony Brook, Stony Brook
,
Wolfgang Krueger
GMD-HLRZ

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: 17 October 1994

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VolVis94: 1994 Symposium on Volume Visualization

October 17 - 18, 1994

Virginia, Tysons Corner, USA

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Tian XYang CWu YHe ZHu Y(2023)An Animated Visualization Method for Large-Scale Unstructured Unsteady FlowApplied Sciences10.3390/app13211206213:21(12062)Online publication date: 6-Nov-2023
https://doi.org/10.3390/app132112062
Wang CTao J(2017)Graphs in Scientific VisualizationComputer Graphics Forum10.1111/cgf.1280036:1(263-287)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1111/cgf.12800
Gu YWang C(2013)iTree: Exploring time-varying data using indexable tree2013 IEEE Pacific Visualization Symposium (PacificVis)10.1109/PacificVis.2013.6596138(137-144)Online publication date: Feb-2013
https://doi.org/10.1109/PacificVis.2013.6596138
Wang YWang CLee TMa K(2011)Feature-Preserving Volume Data Reduction and Focus+Context VisualizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2010.3417:2(171-181)Online publication date: 1-Feb-2011
https://dl.acm.org/doi/10.1109/TVCG.2010.34
Nguyen BChui COng SChang S(2011)An efficient compression scheme for 4-D medical images using hierarchical vector quantization and motion compensationComputers in Biology and Medicine10.1016/j.compbiomed.2011.07.00341:9(843-856)Online publication date: 1-Sep-2011
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Jeong WSchneider JTurney SFaulkner-Jones BMeyer DWestermann RReid RLichtman JPfister H(2010)Interactive Histology of Large-Scale Biomedical Image StacksIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2010.16816:6(1386-1395)Online publication date: 1-Nov-2010
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Wang CYu HMa K(2010)Application-Driven Compression for Visualizing Large-Scale Time-Varying DataIEEE Computer Graphics and Applications10.1109/MCG.2010.330:1(59-69)Online publication date: 1-Jan-2010
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Wang ZNguyen BChui CQin JAng COng S(2010)An efficient clustering method for fast rendering of time-varying volumetric medical dataThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-010-0483-526:6-8(1061-1070)Online publication date: 1-Jun-2010
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Unat DIII TBaden S(2009)An Adaptive Sub-sampling Method for In-memory Compression of Scientific DataProceedings of the 2009 Data Compression Conference10.1109/DCC.2009.65(262-271)Online publication date: 16-Mar-2009
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Wang CGarcia AShen H(2007)Interactive Level-of-Detail Selection Using Image-Based Quality Metric for Large Volume VisualizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2007.1513:1(122-134)Online publication date: 1-Jan-2007
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