3D modeling for steel billet images

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

doi:10.1109/ICCE-China.2017.7990967

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 proceeding › Conference contribution

6 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 language	English
Title of host publication	2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5-6
Number of pages	2
ISBN (Electronic)	9781509040179
DOIs	https://doi.org/10.1109/ICCE-China.2017.7990967
Publication status	Published - 2017 Jul 25
Externally published	Yes
Event	4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 - Taipei, United States Duration: 2017 Jun 12 → 2017 Jun 14

Publication series

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

Other

Other	4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Country/Territory	United States
City	Taipei
Period	2017/06/12 → 2017/06/14

ASJC Scopus subject areas

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

Access to Document

10.1109/ICCE-China.2017.7990967

Cite this

Hsu, C. Y., Lin, H. Y., Kang, L. W., Weng, M. F., Chang, C. M., & You, T. Y. (2017). 3D modeling for steel billet images. In 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 (pp. 5-6). Article 7990967 (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-China.2017.7990967

3D modeling for steel billet images. / Hsu, Chao Yung; Lin, Hsin Yi; Kang, Li Wei et al.
2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 5-6 7990967 (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hsu, CY, Lin, HY, Kang, LW, Weng, MF, Chang, CM & You, TY 2017, 3D modeling for steel billet images. in 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017., 7990967, 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017, Institute of Electrical and Electronics Engineers Inc., pp. 5-6, 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017, Taipei, United States, 2017/06/12. https://doi.org/10.1109/ICCE-China.2017.7990967

Hsu CY, Lin HY, Kang LW, Weng MF, Chang CM, You TY. 3D modeling for steel billet images. In 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 5-6. 7990967. (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017). doi: 10.1109/ICCE-China.2017.7990967

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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.",

author = "Hsu, {Chao Yung} and Lin, {Hsin Yi} and Kang, {Li Wei} and Weng, {Ming Fang} and Chang, {Chih Ming} and You, {Teng Yi}",

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AB - 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.

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3D modeling for steel billet images

Abstract

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