On the evaluation of photometric stereo applications testing using image modifications

Franz Wotawa (Vortragende:r), Ledio Jehaj, Nicole Brosch

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

Computer vision is vital for various applications like object tracking for autonomous driving or quality assurance. Hence, assuring that computer vision fulfills given quality criteria is essential and requires sufficient testing. In previous work, authors introduced a testing method relying on image modifications for a photometric stereo application. Image modifications include pixel errors or the rotation of images to be analyzed, revealing a substantial impact on the computed outcome of the photometric stereo application, depending on the applied modification. This paper focuses on whether we can reproduce the impact of image modifications in a real-world setup. In particular, we compare the impact of the rotation of the analyzed sample with the rotation modification applied to the image of the sample. The comparison indicates a similar effect when using rotation, showing that testing based on image modifications is valuable for verifying computer vision applications.
OriginalspracheEnglisch
TitelICTSS 2023: Testing Software and Systems
Redakteure/-innenS. Bonfanti, A. Gargantini, P. Salvaneschi
Seiten40-51
Seitenumfang12
Band14131
ISBN (elektronisch)978-3-031-43240-8
DOIs
PublikationsstatusVeröffentlicht - 19 Sept. 2023
VeranstaltungICTSS 2023 : The 34th IFIP International Conference on Testing Software and Systems - Bergamo, Italien
Dauer: 18 Sept. 202320 Sept. 2023

Publikationsreihe

NameLecture Notes in Computer Science
Herausgeber (Verlag)Springer, Cham
Band14131
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

KonferenzICTSS 2023 : The 34th IFIP International Conference on Testing Software and Systems
KurztitelICTS 2023
Land/GebietItalien
StadtBergamo
Zeitraum18/09/2320/09/23

Research Field

  • High-Performance Vision Systems

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