Visually Comparing Rendering Performance from Multiple Perspectives

Tarner, Hagen; Bruder, Valentin; Frey, Steffen; Ertl, Thomas; Beck, Fabian

Visually Comparing Rendering Performance from Multiple Perspectives

Date

2022

Authors

Tarner, Hagen
Bruder, Valentin
Frey, Steffen
Ertl, Thomas
Beck, Fabian

Publisher

The Eurographics Association

Abstract

Evaluation of rendering performance is crucial when selecting or developing algorithms, but challenging as performance can largely differ across a set of selected scenarios. Despite this, performance metrics are often reported and compared in a highly aggregated way. In this paper we suggest a more fine-grained approach for the evaluation of rendering performance, taking into account multiple perspectives on the scenario: camera position and orientation along different paths, rendering algorithms, image resolution, and hardware. The approach comprises a visual analysis system that shows and contrasts the data from these perspectives. The users can explore combinations of perspectives and gain insight into the performance characteristics of several rendering algorithms. A stylized representation of the camera path provides a base layout for arranging the multivariate performance data as radar charts, each comparing the same set of rendering algorithms while linking the performance data with the rendered images. To showcase our approach, we analyze two types of scientific visualization benchmarks.

        @inproceedings{10.2312:vmv.20221211
,
booktitle = {Vision, Modeling, and Visualization
},
editor = {Bender, Jan and 
Botsch, Mario and 
Keim, Daniel A.
},
title = {{Visually Comparing Rendering Performance from Multiple Perspectives
}},
author = {Tarner, Hagen and 
Bruder, Valentin and 
Frey, Steffen and 
Ertl, Thomas and 
Beck, Fabian
},
year = {2022
},
publisher = {The Eurographics Association
},
ISBN = {978-3-03868-189-2
},
DOI = {10.2312/vmv.20221211
}
}