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Visually Comparing Rendering Performance from Multiple Perspectives
Tarner, Hagen; Bruder, Valentin; Frey, Steffen; u. a. (2022): Visually Comparing Rendering Performance from Multiple Perspectives, in: Jan Bender, Mario Botsch, und Daniel A. Keim (Hrsg.), Vision, Modeling, and Visualization, Eindhoven: The Eurographics Association, S. 115–125, doi: 10.2312/VMV.20221211.
Faculty/Chair:
Author:
Title of the compilation:
Vision, Modeling, and Visualization
Editors:
Bender, Jan
Botsch, Mario
Keim, Daniel A.
Conference:
VMV 2022
Publisher Information:
Year of publication:
2022
Pages:
ISBN:
978-3-03868-189-2
Language:
English
DOI:
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.
GND Keywords: ; ; ;
Rendering
Leistungsbewertung
Algorithmentheorie
Vision, Modeling and Visualization
Keywords: ;
performance visualization
visual comparison
DDC Classification:
RVK Classification:
Peer Reviewed:
Yes:
International Distribution:
Yes:
Open Access Journal:
Yes:
Type:
Conferenceobject
Activation date:
December 14, 2022
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/57258