Multi-view surface inspection using a rotating table

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

研究成果: Conference article

抜粋

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.

元の言語English
ページ(範囲)2021-2026
ページ数6
ジャーナルIS and T International Symposium on Electronic Imaging Science and Technology
Part F138660
DOI
出版物ステータスPublished - 2018 1 1
イベントIntelligent Robotics and Industrial Applications using Computer Vision 2018, IRIACV 2018 - Burlingame, United States
継続期間: 2018 1 282018 2 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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