Multi-view surface inspection using a rotating table

Tomoya Kaichi, Shohei Mori, Hideo Saito, Junichi Sugano, Hideyuki Adachi

Research output: Contribution to journalConference article

Abstract

In this paper, we introduce a method to visually inspect in- dustrial parts by using multi-view images of an industrial part on a rotating table. During the visual inspection of the parts' sur- faces, the relationship between the camera pose, the light vectors, and the normal vectors of a part's surface is the key factor in de- tecting abnormalities. We can change the relationship between the three factors by rotating the part; then, the abnormalities are visible in certain positional relationships. We, therefore, track the points on a part's surfaces in an image sequence and discrimi- nate abnormal points (such as points on scratches or dents) from normal points based on pixel value transitions while rotating the part. The experimental results, which were based on real data of industrial parts, showed that the proposed method could detect the abnormalities on the surfaces.

Original languageEnglish
Pages (from-to)2021-2026
Number of pages6
JournalIS and T International Symposium on Electronic Imaging Science and Technology
VolumePart F138660
DOIs
Publication statusPublished - 2018 Jan 1
EventIntelligent Robotics and Industrial Applications using Computer Vision 2018, IRIACV 2018 - Burlingame, United States
Duration: 2018 Jan 282018 Feb 1

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Human-Computer Interaction
  • Software
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

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