“Compression and Interactive Visualization of Terabyte Scale Volumetric RGBA Data With Voxel-scale Details” by Derin, Harada, Takeda and Iba

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Entry Number: 36

Title:

    Compression and Interactive Visualization of Terabyte Scale Volumetric RGBA Data With Voxel-scale Details

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Abstract:


    We present a compressed volumetric data structure and traversal algorithm that interactively visualizes complete terabyte-scale scientific data. Previous methods rely on heavy approximation and do not provide individual sample-level representation when going beyond gigabytes. We develop an extensible pipeline that makes the data streamable on GPU using compact pointers and a compression algorithm based on wavelet transform. The resulting approach renders high-resolution captures under varying sampling characteristics in real-time.

References:


    Mitko Aleksandrov, Sisi Zlatanova, and David J. Heslop. 2021. Voxelisation Algorithms and Data Structures: A Review. Sensors (Basel, Switzerland) 21 (2021).Google Scholar
    Alejandro Graciano, Antonio J. Rueda-Ruiz, Adam Pospísil, Jiří Bittner, and Bedrich Benes. 2021. QuadStack: An Efficient Representation and Direct Rendering of Layered Datasets. IEEE Transactions on Visualization and Computer Graphics 27 (2021), 3733–3744.Google ScholarDigital Library
    Ken Museth. 2021. NanoVDB: A GPU-Friendly and Portable VDB Data Structure For Real-Time Rendering And Simulation. ACM SIGGRAPH 2021 Talks(2021).Google Scholar
    Ingo Wald, Gregory P. Johnson, Jefferson Amstutz, Carson Brownlee, Aaron Knoll, J. Jeffers, Johannes Günther, and Paul A. Navrátil. 2017. OSPRay – A CPU Ray Tracing Framework for Scientific Visualization. IEEE Transactions on Visualization and Computer Graphics 23 (2017), 931–940.Google ScholarDigital Library


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