Testing Photometric Stereo Applications

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Testing vision software and systems is an important activity due to its increasing use in applications like autonomous driving or quality assurance in production. In this paper, we introduce an approach for testing vision applications relying on photometric stereo that is used for obtaining 3D models from a single camera using multiple light sources. In particular, we focus on testing an application prototype implementation used for estimating the quality of riblet surfaces used to reduce different kinds of friction. The approach is based on modifying images used as inputs of photometric stereo. The underlying modification operations like darkening or brightening correspond to specific fault situations that may arise during operation. The generated modified images are given as input to the vision software leading to deviations on side of the classification o utput. I deally, such systems should detect various faults and deliver corresponding error messages. Besides outlining the foundations, we present results obtained from the riblet surface inspection software currently under development.

Original languageEnglish
Title of host publicationProceedings - 2022 9th International Conference on Dependable Systems and Their Applications, DSA 2022
PublisherInstitute of Electrical and Electronics Engineers
Number of pages9
ISBN (Electronic)9781665488778
Publication statusPublished - 2022
Event9th International Conference on Dependable Systems and Their Applications: DSA 2022 - Wulumuqi, China
Duration: 4 Aug 20225 Aug 2022


Conference9th International Conference on Dependable Systems and Their Applications
Abbreviated titleDSA 2022


  • framework
  • modification
  • photometry
  • riblet
  • testing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality


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