• DocumentCode
    649476
  • Title

    Interactive rendering and efficient querying for large multivariate seismic volumes on consumer level PCs

  • Author

    Liang Zhou ; Hansen, Charles

  • Author_Institution
    SCI Inst. & the Sch. of Comput., Univ. of Utah, Salt Lake City, UT, USA
  • fYear
    2013
  • fDate
    13-14 Oct. 2013
  • Firstpage
    117
  • Lastpage
    118
  • Abstract
    We present a volume visualization method that allows interactive rendering and efficient querying of large multivariate seismic volume data on consumer level PCs. The volume rendering pipeline utilizes a virtual memory structure that supports out-of-core multivariate multi-resolution data and a GPU-based ray caster that allows interactive multivariate transfer function design. A Gaussian mixture model representation is precomputed and nearly interactive querying is achieved by testing the Gaussian functions against user defined transfer functions on the GPU in the runtime. Finally, the method has been tested on a multivariate 3D seismic dataset which is larger than the size of the main memory of the testing machine.
  • Keywords
    Gaussian processes; data structures; geophysics computing; graphics processing units; interactive systems; pipeline processing; query processing; rendering (computer graphics); seismology; transfer functions; virtual storage; GPU-based ray caster; Gaussian functions; Gaussian mixture model representation; consumer level PCs; interactive multivariate transfer function design; interactive rendering; large multivariate seismic volume data; multivariate 3D seismic dataset; nearly interactive querying; out-of-core multivariate multiresolution data; virtual memory structure; volume rendering pipeline; volume visualization method; Multivariate volume; Out-of-core Methods; Transfer Functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Large-Scale Data Analysis and Visualization (LDAV), 2013 IEEE Symposium on
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/LDAV.2013.6675167
  • Filename
    6675167