TII-survey paper-accepted.pdf (9.5 MB)

Visual perception enabled industry intelligence: state of the art, challenges and prospects

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journal contribution
posted on 27.08.2020, 08:22 by Jiachen Yang, Chenguang Wang, Bin Jiang, Houbing Song, Qinggang Meng
Visual perception refers to the process of organizing, identifying and interpreting visual information in environmental awareness and understanding. With the rapid progress of multimedia acquisition technology, research on visual perception has been a hot topic in the academical field and industrial applications. Especially after the introduction of artificial intelligence theory, intelligent visual perception has been widely used to promote the development of industrial production towards intelligence. In this paper, we review the previous research and application of visual perception in different industrial fields such as product surface defect detection, intelligent agricultural production, image synthesis, event reconstruction, intelligent driving and pose measurement. The applications basically cover most of the intelligent visual perception processing technologies. Through this survey, it will provide a comprehensive reference for research on this direction. Finally, this paper also summarizes the current challenges of visual perception and predicts its future development trends.

Funding

National Natural Science Foundation of China (No. 61871283).

Foundation of Pre-Research on Equipment of China (No.61400010304).

Major Civil-Military Integration Project in Tianjin, China (No.18ZXJMTG00170).

History

School

  • Science

Department

  • Computer Science

Published in

IEEE Transactions on Industrial Informatics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publication date

2020-06-02

Copyright date

2020

ISSN

1551-3203

eISSN

1941-0050

Language

en

Depositor

Prof Qinggang Meng. Deposit date: 26 August 2020

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