C. Müller, M. Braun, and T. Ertl. IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019, Osaka, Japan, March 23-27, 2019, page 97--102. IEEE, (2019)
DOI: 10.1109/VR.2019.8798111
Abstract
The advent of modern and affordable augmented reality head sets like Microsoft HoloLens has sparked new interest in using virtual and augmented reality technology in the analysis of molecular data. For all visualisation in immersive, mixed-reality scenarios, a sufficiently high rendering speed is an important factor, which leads to the issue of limited processing power available on fully untethered devices facing the situation of handling computationally expensive visualisations. Recent research shows that the space-filling model of even small data sets from the Protein Data Bank (PDB) cannot be rendered at desirable frame rates on the HoloLens. In this work, we report on how to improve the rendering speed of atom-based visualisation of proteins and how the rendering of more abstract representations of the molecules compares against it. We complement our findings with in-depth GPU and CPU performance numbers.
%0 Conference Paper
%1 DBLP:conf/vr/MuilerBE19
%A Müller, Christoph
%A Braun, Matthias
%A Ertl, Thomas
%B IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019, Osaka, Japan, March 23-27, 2019
%D 2019
%I IEEE
%K inf 2019 a02 sfbtrr161 from:christinawarren visus:braunms visus:ertl visus:mueller visus
%P 97--102
%R 10.1109/VR.2019.8798111
%T Optimised Molecular Graphics on the HoloLens
%U https://doi.org/10.1109/VR.2019.8798111
%X The advent of modern and affordable augmented reality head sets like Microsoft HoloLens has sparked new interest in using virtual and augmented reality technology in the analysis of molecular data. For all visualisation in immersive, mixed-reality scenarios, a sufficiently high rendering speed is an important factor, which leads to the issue of limited processing power available on fully untethered devices facing the situation of handling computationally expensive visualisations. Recent research shows that the space-filling model of even small data sets from the Protein Data Bank (PDB) cannot be rendered at desirable frame rates on the HoloLens. In this work, we report on how to improve the rendering speed of atom-based visualisation of proteins and how the rendering of more abstract representations of the molecules compares against it. We complement our findings with in-depth GPU and CPU performance numbers.
@inproceedings{DBLP:conf/vr/MuilerBE19,
abstract = {The advent of modern and affordable augmented reality head sets like Microsoft HoloLens has sparked new interest in using virtual and augmented reality technology in the analysis of molecular data. For all visualisation in immersive, mixed-reality scenarios, a sufficiently high rendering speed is an important factor, which leads to the issue of limited processing power available on fully untethered devices facing the situation of handling computationally expensive visualisations. Recent research shows that the space-filling model of even small data sets from the Protein Data Bank (PDB) cannot be rendered at desirable frame rates on the HoloLens. In this work, we report on how to improve the rendering speed of atom-based visualisation of proteins and how the rendering of more abstract representations of the molecules compares against it. We complement our findings with in-depth GPU and CPU performance numbers.},
added-at = {2021-07-20T09:08:47.000+0200},
author = {Müller, Christoph and Braun, Matthias and Ertl, Thomas},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/23ab8f48e47095a90fbca92b853f5b38c/visus},
booktitle = {IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019, Osaka, Japan, March 23-27, 2019},
doi = {10.1109/VR.2019.8798111},
interhash = {afd9478a9589c1633910fc1866a0e90b},
intrahash = {3ab8f48e47095a90fbca92b853f5b38c},
keywords = {inf 2019 a02 sfbtrr161 from:christinawarren visus:braunms visus:ertl visus:mueller visus},
pages = {97--102},
publisher = {IEEE},
timestamp = {2021-07-20T07:08:47.000+0200},
title = {Optimised Molecular Graphics on the HoloLens},
url = {https://doi.org/10.1109/VR.2019.8798111},
year = 2019
}
