Illumination Effect Evaluation Algorithm for Vision-based Robotic Inspection

Minwoo Na, Jae Bok Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Recently, the demand for robotic inspection of parts with complex shapes has been increasing. View planning is critical for robot inspection to determine the position and orientation of a vision sensor. Much research has focused on view planning that satisfies the sensor constraints, such as the FOV and view frustum. However, when an active illumination is used in the inspection system, such as a lighting device or a projector, image quality may be reduced due to the illumination effect caused by light reflected from an object. Thus, this study proposes an illumination effect evaluation algorithm for vision-based robotic inspection which generates a lighting model that considers global illumination at low computational cost and quantitatively evaluates the illumination effect on vision sensors. This method achieves the computational complexity of O(n) for generating a lighting model using the light intensity approximation model. Simulation results showed that the computational time of generating the illumination effect for 10,000 points is up to 1.32 s, and the illumination effect can be obtained quantitatively for various viewpoints by using the proposed method.

Original languageEnglish
Title of host publication2022 22nd International Conference on Control, Automation and Systems, ICCAS 2022
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9788993215243
Publication statusPublished - 2022
Event22nd International Conference on Control, Automation and Systems, ICCAS 2022 - Busan, Korea, Republic of
Duration: 2022 Nov 272022 Dec 1

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833


Conference22nd International Conference on Control, Automation and Systems, ICCAS 2022
Country/TerritoryKorea, Republic of

Bibliographical note

Funding Information:
This research was supported by the MOTIE under the Industrial Foundation Technology Development Program supervised by the KEIT (No. 20008613).

Publisher Copyright:
© 2022 ICROS.


  • Global illumination
  • Lighting model
  • Robotic inspection
  • View planning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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