Marker-Assisted 3D Vibration Visual Measurement with a Single Camera

Ping Wang; Rongfeng Deng; Yanling Cao; Baoshan Huang; Chunrong Pan; Fengshou Gu

doi:10.1007/978-3-031-70235-8_15

Marker-Assisted 3D Vibration Visual Measurement with a Single Camera

Ping Wang, Rongfeng Deng, Yanling Cao, Baoshan Huang, Chunrong Pan, Fengshou Gu

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

1 Citation (Scopus)

Abstract

Vision-based vibration detection technology can realize non-contact detection of global vibration of the structure without affecting the structure, and receives more and more attention in the field of structural health monitoring. Most of the traditional visual vibration measurement techniques can only detect two-dimensional in-plane vibration, while three-dimensional vibration detection requires the assistance of two cameras or optical devices, which makes the utilization of a single camera to achieve three-dimensional vibration detection a pursued goal. In this paper, a marker-assisted 3D vibration detection method is proposed, which requires only a single camera to realize the detection of 3D vibration and has no requirement for the flatness of the surface of the object under test. Out-of-plane vibration detection is achieved by detecting the variation of the distance between two markers in the image, and in-plane vibration detection is achieved by using the variation of the coordinates of the center of the markers. The effectiveness of the proposed method is verified by simulation and experiment, and the results show that the proposed method has certain application prospects.

Original language	English
Title of host publication	Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP
Editors	Bingyan Chen, Xiaoxia Liang, Tian Ran Lin, Fulei Chu, Andrew D. Ball
Publisher	Springer, Cham
Pages	161-172
Number of pages	12
Volume	170
ISBN (Electronic)	9783031702358
ISBN (Print)	9783031702341, 9783031702372
DOIs	https://doi.org/10.1007/978-3-031-70235-8_15
Publication status	Published - 3 Sept 2024
Event	TEPEN International Workshop on Fault Diagnostic and Prognostic - Qingdao, China Duration: 8 May 2024 → 11 May 2024

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	170 MMS
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	TEPEN International Workshop on Fault Diagnostic and Prognostic
Abbreviated title	TEPEN2024-IWFDP
Country/Territory	China
City	Qingdao
Period	8/05/24 → 11/05/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1007/978-3-031-70235-8_15Licence: Unspecified

Cite this

Wang, P., Deng, R., Cao, Y., Huang, B., Pan, C., & Gu, F. (2024). Marker-Assisted 3D Vibration Visual Measurement with a Single Camera. In B. Chen, X. Liang, T. R. Lin, F. Chu, & A. D. Ball (Eds.), Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP (Vol. 170, pp. 161-172). (Mechanisms and Machine Science; Vol. 170 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-70235-8_15

Wang, Ping ; Deng, Rongfeng ; Cao, Yanling et al. / Marker-Assisted 3D Vibration Visual Measurement with a Single Camera. Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP. editor / Bingyan Chen ; Xiaoxia Liang ; Tian Ran Lin ; Fulei Chu ; Andrew D. Ball. Vol. 170 Springer, Cham, 2024. pp. 161-172 (Mechanisms and Machine Science).

@inproceedings{5fe87534d86a4e9bb28ebacbfea95c56,

title = "Marker-Assisted 3D Vibration Visual Measurement with a Single Camera",

abstract = "Vision-based vibration detection technology can realize non-contact detection of global vibration of the structure without affecting the structure, and receives more and more attention in the field of structural health monitoring. Most of the traditional visual vibration measurement techniques can only detect two-dimensional in-plane vibration, while three-dimensional vibration detection requires the assistance of two cameras or optical devices, which makes the utilization of a single camera to achieve three-dimensional vibration detection a pursued goal. In this paper, a marker-assisted 3D vibration detection method is proposed, which requires only a single camera to realize the detection of 3D vibration and has no requirement for the flatness of the surface of the object under test. Out-of-plane vibration detection is achieved by detecting the variation of the distance between two markers in the image, and in-plane vibration detection is achieved by using the variation of the coordinates of the center of the markers. The effectiveness of the proposed method is verified by simulation and experiment, and the results show that the proposed method has certain application prospects.",

keywords = "Single Camera, Structural Health Monitoring, Vision-based Vibration Detection",

author = "Ping Wang and Rongfeng Deng and Yanling Cao and Baoshan Huang and Chunrong Pan and Fengshou Gu",

note = "Funding Information: Supports from the National Natural Science Foundation of China (62076029), Inner Mongolia Autonomous Region Science and Technology Program (2023YFSW003), the Guangdong Provincial Department of Education Characteristic Innovation Project (2022KTSCX199, 2021KTSCX186) and the Guangdong Provincial Department of Education Key Area Research Special Programme (2021ZDZX1089) are gratefully acknowledged. Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; TEPEN International Workshop on Fault Diagnostic and Prognostic, TEPEN2024-IWFDP ; Conference date: 08-05-2024 Through 11-05-2024",

year = "2024",

month = sep,

day = "3",

doi = "10.1007/978-3-031-70235-8\_15",

language = "English",

isbn = "9783031702341",

volume = "170",

series = "Mechanisms and Machine Science",

publisher = "Springer, Cham",

pages = "161--172",

editor = "Bingyan Chen and Xiaoxia Liang and Lin, \{Tian Ran\} and Fulei Chu and Ball, \{Andrew D.\}",

booktitle = "Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP",

address = "Switzerland",

}

Wang, P, Deng, R, Cao, Y, Huang, B, Pan, C & Gu, F 2024, Marker-Assisted 3D Vibration Visual Measurement with a Single Camera. in B Chen, X Liang, TR Lin, F Chu & AD Ball (eds), Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP. vol. 170, Mechanisms and Machine Science, vol. 170 MMS, Springer, Cham, pp. 161-172, TEPEN International Workshop on Fault Diagnostic and Prognostic, Qingdao, China, 8/05/24. https://doi.org/10.1007/978-3-031-70235-8_15

Marker-Assisted 3D Vibration Visual Measurement with a Single Camera. / Wang, Ping; Deng, Rongfeng; Cao, Yanling et al.
Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP. ed. / Bingyan Chen; Xiaoxia Liang; Tian Ran Lin; Fulei Chu; Andrew D. Ball. Vol. 170 Springer, Cham, 2024. p. 161-172 (Mechanisms and Machine Science; Vol. 170 MMS).

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

TY - GEN

T1 - Marker-Assisted 3D Vibration Visual Measurement with a Single Camera

AU - Wang, Ping

AU - Deng, Rongfeng

AU - Cao, Yanling

AU - Huang, Baoshan

AU - Pan, Chunrong

AU - Gu, Fengshou

N1 - Funding Information: Supports from the National Natural Science Foundation of China (62076029), Inner Mongolia Autonomous Region Science and Technology Program (2023YFSW003), the Guangdong Provincial Department of Education Characteristic Innovation Project (2022KTSCX199, 2021KTSCX186) and the Guangdong Provincial Department of Education Key Area Research Special Programme (2021ZDZX1089) are gratefully acknowledged. Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024/9/3

Y1 - 2024/9/3

N2 - Vision-based vibration detection technology can realize non-contact detection of global vibration of the structure without affecting the structure, and receives more and more attention in the field of structural health monitoring. Most of the traditional visual vibration measurement techniques can only detect two-dimensional in-plane vibration, while three-dimensional vibration detection requires the assistance of two cameras or optical devices, which makes the utilization of a single camera to achieve three-dimensional vibration detection a pursued goal. In this paper, a marker-assisted 3D vibration detection method is proposed, which requires only a single camera to realize the detection of 3D vibration and has no requirement for the flatness of the surface of the object under test. Out-of-plane vibration detection is achieved by detecting the variation of the distance between two markers in the image, and in-plane vibration detection is achieved by using the variation of the coordinates of the center of the markers. The effectiveness of the proposed method is verified by simulation and experiment, and the results show that the proposed method has certain application prospects.

AB - Vision-based vibration detection technology can realize non-contact detection of global vibration of the structure without affecting the structure, and receives more and more attention in the field of structural health monitoring. Most of the traditional visual vibration measurement techniques can only detect two-dimensional in-plane vibration, while three-dimensional vibration detection requires the assistance of two cameras or optical devices, which makes the utilization of a single camera to achieve three-dimensional vibration detection a pursued goal. In this paper, a marker-assisted 3D vibration detection method is proposed, which requires only a single camera to realize the detection of 3D vibration and has no requirement for the flatness of the surface of the object under test. Out-of-plane vibration detection is achieved by detecting the variation of the distance between two markers in the image, and in-plane vibration detection is achieved by using the variation of the coordinates of the center of the markers. The effectiveness of the proposed method is verified by simulation and experiment, and the results show that the proposed method has certain application prospects.

KW - Single Camera

KW - Structural Health Monitoring

KW - Vision-based Vibration Detection

UR - https://www.scopus.com/pages/publications/85204381727

UR - https://doi.org/10.1007/978-3-031-70235-8

U2 - 10.1007/978-3-031-70235-8_15

DO - 10.1007/978-3-031-70235-8_15

M3 - Conference contribution

AN - SCOPUS:85204381727

SN - 9783031702341

SN - 9783031702372

VL - 170

T3 - Mechanisms and Machine Science

SP - 161

EP - 172

BT - Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP

A2 - Chen, Bingyan

A2 - Liang, Xiaoxia

A2 - Lin, Tian Ran

A2 - Chu, Fulei

A2 - Ball, Andrew D.

PB - Springer, Cham

T2 - TEPEN International Workshop on Fault Diagnostic and Prognostic

Y2 - 8 May 2024 through 11 May 2024

ER -

Wang P, Deng R, Cao Y, Huang B, Pan C, Gu F. Marker-Assisted 3D Vibration Visual Measurement with a Single Camera. In Chen B, Liang X, Lin TR, Chu F, Ball AD, editors, Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP. Vol. 170. Springer, Cham. 2024. p. 161-172. (Mechanisms and Machine Science). Epub 2024 Sept 2. doi: 10.1007/978-3-031-70235-8_15

Marker-Assisted 3D Vibration Visual Measurement with a Single Camera

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