3D modeling for steel billet images

Chao Yung Hsu, Hsin Yi Lin, Li Wei Kang, Ming Fang Weng, Chih Ming Chang, Teng Yi You

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

5 Citations (Scopus)

Abstract

To achieve the goal of Industry 4.0 for steel industry, intelligent automated manufacturing becomes increasingly important. One of the key steps on the automatic production line of steel products is automatic inspection of surface detects. Recent trends in vision-based surface inspections of steel products have shown that the use of 3D information would be more beneficial than only utilizing two dimensional surface data. In this paper, a 3D modeling framework is proposed to capture 3D information of steel billet images. Our major goal is to obtain the depth information for the billet images to be inspected for possibly further applications (e.g., inspection of surface defects). The presented results have shown the feasibility of the proposed framework.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5-6
Number of pages2
ISBN (Electronic)9781509040179
DOIs
Publication statusPublished - 2017 Jul 25
Externally publishedYes
Event4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 - Taipei, United States
Duration: 2017 Jun 122017 Jun 14

Publication series

Name2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

Other

Other4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Country/TerritoryUnited States
CityTaipei
Period2017/06/122017/06/14

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Signal Processing
  • Biomedical Engineering
  • Instrumentation
  • Electrical and Electronic Engineering

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