期刊
STRUCTURAL CONTROL & HEALTH MONITORING
卷 29, 期 2, 页码 -出版社
JOHN WILEY & SONS LTD
DOI: 10.1002/stc.2869
关键词
computer vision; displacement function; image drift; structural health monitoring; thermal effect
资金
- Zhejiang Provincial Natural Science Foundation of China [LGF21E080010]
- National Natural Science Foundation of China [51578424]
The study introduces a method to establish a thermal-induced displacement function of the image plane for predicting and eliminating image drift in videogrammetric measurement. The displacement function is calibrated using stationary targets, allowing for the prediction of thermal-induced displacement in measurements. Satisfactory performance is achieved in both temperature-controlled and outdoor environments through verification tests.
The thermal effect that leads to spurious image drift is one major concern in the videogrammetric measurement. On the ground that the image drift originates from the thermal-induced displacement of the image sensor board, this study proposes to establish the thermal-induced displacement function of the image plane for the prediction of image drift and the elimination thereof. The displacement function of the image plane is calibrated with stationary targets easily available in laboratory. In measurements other than the thermal effect calibration, the thermal-induced displacement of the image plane is predicted from the precalibrated displacement function. It is then subtracted from the measured pixel coordinates of measurand, resulting in normalized pixel coordinates in which the thermal-induced image drift has been removed. To exemplify this approach, two thermal effect calibration tests with different camera orientations are fulfilled. The displacement function of the image plane is simulated with a first-order polynomial model. Verification tests are performed in both temperature-controlled and outdoor environments. The approach achieves satisfactory performance in both environments.
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