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Correlated Photon Mapping for Interactive Global Illumination of Time-Varying Volumetric Data

Overview of attention for article published in IEEE Transactions on Visualization and Computer Graphics, August 2016
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Title
Correlated Photon Mapping for Interactive Global Illumination of Time-Varying Volumetric Data
Published in
IEEE Transactions on Visualization and Computer Graphics, August 2016
DOI 10.1109/tvcg.2016.2598430
Pubmed ID
Authors

Daniel Jonsson, Anders Ynnerman

Abstract

We present a method for interactive global illumination of both static and time-varying volumetric data based on reduction of the overhead associated with re-computation of photon maps. Our method uses the identification of photon traces invariant to changes of visual parameters such as the transfer function (TF), or data changes between time-steps in a 4D volume. This lets us operate on a variant subset of the entire photon distribution. The amount of computation required in the two stages of the photon mapping process, namely tracing and gathering, can thus be reduced to the subset that are affected by a data or visual parameter change. We rely on two different types of information from the original data to identify the regions that have changed. A low resolution uniform grid containing the minimum and maximum data values of the original data is derived for each time step. Similarly, for two consecutive time-steps, a low resolution grid containing the difference between the overlapping data is used. We show that this compact metadata can be combined with the transfer function to identify the regions that have changed. Each photon traverses the low-resolution grid to identify if it can be directly transferred to the next photon distribution state or if it needs to be recomputed. An efficient representation of the photon distribution is presented leading to an order of magnitude improved performance of the raycasting step. The utility of the method is demonstrated in several examples that show visual fidelity, as well as performance. The examples show that visual quality can be retained when the fraction of retraced photons is as low as 40%-50%.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Australia 1 2%
Unknown 49 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 29%
Student > Master 9 17%
Researcher 5 10%
Professor 2 4%
Student > Doctoral Student 2 4%
Other 6 12%
Unknown 13 25%
Readers by discipline Count As %
Computer Science 36 69%
Psychology 1 2%
Medicine and Dentistry 1 2%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 August 2016.
All research outputs
#17,289,387
of 25,377,790 outputs
Outputs from IEEE Transactions on Visualization and Computer Graphics
#1,873
of 2,300 outputs
Outputs of similar age
#253,201
of 381,580 outputs
Outputs of similar age from IEEE Transactions on Visualization and Computer Graphics
#20
of 21 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 381,580 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.