@inproceedings{7fd5c59b23cd45c59ba320348e0f17ef,
title = "On the Evaluation of Photometric Stereo Applications Testing Using Image Modifications",
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.",
keywords = "Test automation, Test case generation, Testing computer vision applications",
author = "Franz Wotawa and Ledio Jehaj and Nicole Brosch",
note = "Publisher Copyright: {\textcopyright} 2023, IFIP International Federation for Information Processing.; 35th IFIPWG 6.1 International Conference on Testing Software and Systems : ICTSS 2023, ICTSS 2023 ; Conference date: 18-09-2023 Through 20-09-2023",
year = "2023",
doi = "10.1007/978-3-031-43240-8_3",
language = "English",
isbn = "9783031432392",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "40--51",
editor = "Silvia Bonfanti and Angelo Gargantini and Paolo Salvaneschi",
booktitle = "Testing Software and Systems - 35th IFIP WG 6.1 International Conference, ICTSS 2023, Proceedings",
address = "Germany",
}