Information
- Publication Type: WorkshopTalk
- Workgroup(s)/Project(s):
- Date: 25. May 2015
- Event: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)
- Lecturer: Viktor Vad
- Location: Cagliari, Sardinia, Italy
- Journal: @inproceedings {eurorv3.20151140
- Pages (from): 1
- Pages (to): 3
- Workshop date: 25. May 2015 – 29. May 2015
Abstract
The Marschner-Lobb (ML) test signal has been used for two decades to evaluate the visual quality of different volumetric reconstruction schemes. Previously, the reproduction of these experiments was very simple, as the ML signal was used to evaluate only compact filters applied on the traditional Cartesian lattice. As the Cartesian lattice is separable, it is easy to implement these filters as separable tensor-product extensions of well-known 1D filter kernels. Recently, however, non-separable reconstruction filters have received increased attention that are much more difficult to implement than the traditional tensor-product filters. Even if these are piecewise polynomial filters, the space partitions of the polynomial pieces are geometrically rather complicated. Therefore, the reproduction of the ML experiments is getting more and more difficult. Recently, we reproduced a previously published ML experiment for comparing Cartesian Cubic (CC), Body-Centered Cubic (BCC), and Face-Centered Cubic (FCC) lattices in terms of prealiasing. We recognized that the previously applied settings were biased and gave an undue advantage to the FCC-sampled ML representation. This result clearly shows that reproducibility, verification, and validation of the ML experiments is of crucial importance as the ML signal is the most frequently used benchmark for demonstrating the superiority of a reconstruction scheme or volume representations on non-Cartesian lattices.Additional Files and Images
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Weblinks
BibTeX
@WorkshopTalk{Vad_Viktor_2015_RVV,
title = "Reproducibility, Verification, and Validation of Experiments
on the Marschner-Lobb Test Signal",
author = "Viktor Vad and Bal\'{a}zs Cs\'{e}bfalvi and Peter Rautek and
Eduard Gr\"{o}ller",
year = "2015",
abstract = "The Marschner-Lobb (ML) test signal has been used for two
decades to evaluate the visual quality of different
volumetric reconstruction schemes. Previously, the
reproduction of these experiments was very simple, as the ML
signal was used to evaluate only compact filters applied on
the traditional Cartesian lattice. As the Cartesian lattice
is separable, it is easy to implement these filters as
separable tensor-product extensions of well-known 1D filter
kernels. Recently, however, non-separable reconstruction
filters have received increased attention that are much more
difficult to implement than the traditional tensor-product
filters. Even if these are piecewise polynomial filters, the
space partitions of the polynomial pieces are geometrically
rather complicated. Therefore, the reproduction of the ML
experiments is getting more and more difficult. Recently, we
reproduced a previously published ML experiment for
comparing Cartesian Cubic (CC), Body-Centered Cubic (BCC),
and Face-Centered Cubic (FCC) lattices in terms of
prealiasing. We recognized that the previously applied
settings were biased and gave an undue advantage to the
FCC-sampled ML representation. This result clearly shows
that reproducibility, verification, and validation of the ML
experiments is of crucial importance as the ML signal is the
most frequently used benchmark for demonstrating the
superiority of a reconstruction scheme or volume
representations on non-Cartesian lattices.",
month = may,
event = "EuroVis Workshop on Reproducibility, Verification, and
Validation in Visualization (EuroRV3)",
location = "Cagliari, Sardinia, Italy",
journal = "@inproceedings {eurorv3.20151140",
URL = "https://www.cg.tuwien.ac.at/research/publications/2015/Vad_Viktor_2015_RVV/",
}