Vision-based building seismic displacement measurement by stratification of projective rectification using lines

Jia Guo, Yang Xiang, Kohei Fujita, Izuru Takewaki

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a new flexible technique for accurate vision-based seismic displacement measurement of building structures via a single non-stationary camera with any perspective view. No a priori information about the camera’s parameters or only partial knowledge of the internal camera parameters is required, and geometric constraints in the world coordinate system are employed for projective rectification in this research. Whereas most projective rectifications are conducted by specifying the positions of four or more fixed reference points, our method adopts a stratified approach to partially determine the projective transformation from line-based geometric relationships on the world plane. Since line features are natural and plentiful in a man-made architectural building environment, robust estimation techniques for automatic projective/affine distortion removal can be applied in a more practical way. Both simulations and real-recorded data were used to verify the effectiveness and robustness of the proposed method. We hope that the proposed method could advance the consumer-grade camera system for vision-based structural measurement one more step, from laboratory environments to real-world structural health monitoring systems.

Original languageEnglish
Article number5775
Pages (from-to)1-22
Number of pages22
JournalSensors (Switzerland)
Volume20
Issue number20
DOIs
Publication statusPublished - 2020 Oct 2

Keywords

  • Projective rectification
  • Seismic displacement measurement
  • Vanishing line estimation
  • Vision-based system

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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