Dense 3D displacement and strain measurement framework of miter gates using computer vision

Yasutaka Narazaki, Vedhus Hoskere, Billie F. Spencer, Stuart Foltz, Matthew D. Smith

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

Abstract

This paper investigates the framework of vision-based dense 3D displacement and strain measurement using a digital camera. The framework has three components: (i) Estimation of 3D displacement and strain from images before and after deformation (water-fill event), (ii) evaluation of the expected accuracy of the measurement, and (iii) selection of the measurement setting with the highest expected accuracy. The framework first estimates the full-field optical flow between the images before and after water-fill event, and project the flow to the finite element (FE) model to estimate the 3D displacement and strain. Then, the expected displacement/strain estimation accuracy is evaluated at each node/element of the FE model. Finally, methods and measurement settings with the highest expected accuracy are selected to achieve the best results from the field measurement. Physics-based graphics model (PBGM) is used effectively to simulate the vision-based measurements in a photo-realistic environment and evaluate the performance of different methods and measurement settings by comparing the estimated values with the ground-truth values. The framework investigated in this paper can be used to analyze and optimize the performance of the measurement with different camera placement and post-processing steps prior to the field test.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2019
Subtitle of host publicationEnabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
EditorsFu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos
PublisherDEStech Publications Inc.
Pages3065-3072
Number of pages8
ISBN (Electronic)9781605956015
StatePublished - Jan 1 2019
Event12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 - Stanford, United States
Duration: Sep 10 2019Sep 12 2019

Publication series

NameStructural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
Volume2

Conference

Conference12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
CountryUnited States
CityStanford
Period9/10/199/12/19

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Information Management

Fingerprint Dive into the research topics of 'Dense 3D displacement and strain measurement framework of miter gates using computer vision'. Together they form a unique fingerprint.

  • Cite this

    Narazaki, Y., Hoskere, V., Spencer, B. F., Foltz, S., & Smith, M. D. (2019). Dense 3D displacement and strain measurement framework of miter gates using computer vision. In F-K. Chang, A. Guemes, & F. Kopsaftopoulos (Eds.), Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring (pp. 3065-3072). (Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring; Vol. 2). DEStech Publications Inc..