Using Difference Intervals for Time-Varying Isosurface Visualization - PowerPoint PPT Presentation

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Using Difference Intervals for Time-Varying Isosurface Visualization

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Target out-of-core time-varying isosurface extraction ... Extract the isosurface for the first time step, using k0. Extract the difference intervals for value q, ... – PowerPoint PPT presentation

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Title: Using Difference Intervals for Time-Varying Isosurface Visualization


1
Using Difference Intervals for Time-Varying
Isosurface Visualization
  • Kenneth W. Waters
  • Christopher S. Co
  • Kenneth I. Joy
  • Institute for Data Analysis and Visualization
  • Department of Computer Science
  • University of California, Davis

2
Goals
  • Target out-of-core time-varying isosurface
    extraction
  • Interesting data sets are many times the size of
    core memory
  • Extend an existing out-of-core value space
    isosurface extraction method to work with
    time-varying data
  • Reduces development effort
  • Trade a long pre-processing step for fast
    visualization of all isosurfaces within a data
    set
  • Trade increased disk space usage for decreased
    disk traffic
  • Disk space is cheap
  • Disk access is very slow

3
Terms
  • Full Extraction is the determination of which
    cells are active for a particular isosurface from
    a particular time step
  • This is provided to us by the underlying non
    time-varying isosurface extraction algorithm
  • Incremental Extraction is the process of
    extracting only the differences between an
    isosurface in one time step and the same
    isosurface in the next time step.
  • This work focuses on adding incremental
    extraction using the machinery of the underlying
    extraction algorithm
  • If you scalar volume data is incoherent the
    difference between two successive isosurfaces may
    be larger than the isosurfaces themselves, in
    this case our method is slower than the naive
    approach.

4
Span Space Review
  • Developed by Livnat et. al.
  • 2-D virtual space where cells are represented by
    points located by their minimum and maximum
    intensity values
  • Isosurface extraction is reduced to finding which
    points lie within the rectangle corresponding to
    the isovalue
  • Each point in span space represents an interval
    of intensity values

5
Cell Movement
6
Cell Movement
1.1
1.0
1.0
0.9
0.7
0.4
0.5
7
Difference Intervals
  • These two intervals break the scalar value space
    into five intervals.
  • Suppose you have the complete isosurface for a
    particular isovalue for the first time step

8
Difference Intervals
  • Suppose you had the isosurface, with isovalue q
    lt a.
  • This cell is not active in either time step
  • No work needs to be done for this cell to
    transform the isosurface from the first time step
    to the second time step

9
Difference Intervals - Add
  • Suppose you had the isosurface, with isovalue a lt
    q lt b.
  • This cell is not active in the first time step
    but is active in the second time step
  • We need to add this cell to the isosurface to
    transform from the first time step to the second
    time step

10
Difference Intervals
  • Suppose you had the isosurface, with isovalue b lt
    q lt c.
  • This cell is active in both the first time step
    and the second time step
  • No work needs to be done for this cell to
    transform the isosurface from the first time step
    to the second time step
  • This is where we save time and disk traffic
  • A full extraction of second time step would
    re-extract this interval, we can avoid reading
    this interval from disk

11
Difference Intervals - Remove
  • Suppose you had the isosurface, with isovalue c
    lt q lt d.
  • This cell is active in the first time step but is
    not active in the second time step
  • We need to remove this cell from the isosurface
    to transform from the first time step to the
    second time step

12
Difference Intervals
  • Suppose you had the isosurface, with isovalue q
    gt d.
  • Identical to the first case
  • This cell is not active in either the first time
    step or the second time step
  • No work needs to be done for this cell to
    transform the isosurface from the first time step
    to the second time step

13
Difference Intervals
  • We now have two intervals which describe when
    work needs to be done to transform our isosurface
  • These two intervals can be inserted as cells into
    our existing extraction algorithm
  • There are 11 different ways a cell can move in
    the span space
  • The two difference intervals are always smaller
    than the intervals for the original cell
  • The two difference intervals are always disjoint

14
Using Difference Intervals - Preprocessing
  • Between every two time steps compute the set of
    difference intervals which can be used to
    transform the isosurface for any isovalue
  • Insert these difference intervals into our
    existing out-of-core isosurface extractor, there
    will be a different instance of the extractor for
    each pair of time steps.
  • Label these structures Dn
  • Create key frame extraction structures, use the
    existing out-of-core isosurface extractor on
    select key frames as if they where non
    time-varying data sets
  • Label these structures kn
  • We chose every 4th time step

15
Using Difference Intervals - Extraction
  • To view the isosurface for isovalue q,
    progressing through all of the time steps
  • Extract the isosurface for the first time step,
    using k0
  • Extract the difference intervals for value q,
    from D0
  • Apply the extracted add and remove operations to
    the isosurface for the first time step, to
    extract the isosurface for the second time step
  • Repeat with the difference intervals from D1 to
    get to the isosurface for the third time step,
    etc.
  • To change the isovalue or seek to a different
    time step
  • Do a full extraction from the nearest key frame
  • Apply difference intervals until your at the
    desired time step

16
Preview Rendering
  • We only load data from disk when a cell becomes
    active or inactive
  • We have no information about the intensity values
    for an active cell in a particular time step
  • We cannot use a traditional rendering method to
    draw the isosurface
  • Render all the active cells as screen aligned
    points.
  • Using the depth buffer approximate normals and
    lighting in screen space
  • If the user pauses to take a close look at a
    particular time step, load the full data for that
    time step off disk, for higher quality rendering

17
Compression
  • A generalized versions of the compression
    provided by the Temporal Hierarchical Index Tree
    Shen 98
  • Compress each cell independently
  • If a cell moves less than e in span space over
    several time steps move that cell to its
    extreme value for all of those time steps
  • Makes the cell stationary for several time steps,
    before jumping a long (gt e) distance in span
    space
  • Produces only false positives
  • If a cell doesnt move in span space between two
    frames, it produces no difference intervals
  • Creates fewer but wider difference intervals

18
Data Sets
  • Tested using two datasets
  • 5jet
  • 128 x 128 x 128
  • 1,000 time steps
  • Float data
  • 7.81 GiB
  • Argon Bubble
  • 640 x 256 x 256
  • 131 time steps
  • Float data
  • 20.4 GiB

19
Extraction Time
20
Build Time and Disk Usage
  • 5jet
  • e 50
  • 2.94 false positive rate
  • 96 minute differential span space generation time
  • 11,574 MiB for difference intervals, 6,000 MiB
    for key frames
  • 46.8 GiB uncompressed difference interval size
  • Argon Bubble
  • e 0.025
  • 3.34 false positive rate
  • 83 minute differential span space generation time
  • 7,496 MiB for difference intervals, 20,948 MiB
    for key frames
  • 121.8 GiB uncompressed difference interval size

21
Conclusion
  • Extended any existing value-spaced out-of-core
    isosurface extraction algorithm to work on
    time-varying data by generating difference
    intervals
  • Difference intervals allow us to skip extracting
    cells which remain active from time step to time
    step
  • Reduces disk traffic
  • Applied compression to the data before difference
    interval generation
  • Reduces disk space usage
  • Rendered the isosurface with only the active cell
    positions
  • Eliminates the need to fetch volume data from
    disk for rendering
  • Extraction for the 5jet data set averaged 200ms.
  • Extraction for the larger data set was not
    real-time, but the results where promising.

22
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