From photogrammetry, computer vision to structural response measurement

C. C. Chang

doi:10.1117/12.723484

5 April 2007 From photogrammetry, computer vision to structural response measurement

C. C. Chang

Proceedings Volume 6529, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007; 652903 (2007) https://doi.org/10.1117/12.723484
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2007, San Diego, California, United States

Abstract

Measuring displacement response of large-scale structures is necessary to assess their performance and health condition. Current global position systems (GPS), with a significant cost, can provide point coordinate measurement with an accuracy of ±1cm horizontally and ±2cm vertically at a sampling frequency up to 20 Hz. Photogrammetry is a measurement technology in which the three-dimensional coordinates of points on an object are determined by measurements made with two or more photographic images taken from different positions. This technology is regaining its popularity in various engineering disciplines due to a recent remarkable evolution in the consumer digital cameras. The image resolution of these cameras has increased rapidly from below 1 million pixels a few years ago to over 10 million pixels today, with little increase or even decrease in cost. Image sequences recorded by these cameras contain both spatial and temporal information of the target object; hence can be used to extract the object's dynamic characteristics such as natural frequencies and mode shapes. Research indicates that accuracy in the order of as high as 1 part in 30,000 can be achieved when cameras are properly calibrated in the field and multiple high-resolution images are used. At this level of accuracy, point positions of a 30m object would be accurate to 1mm at 68% probability and responses of large-scale structures can be measured for further meaningful processing and interpretation. In this paper, several image-based sensing techniques that can be used for measuring response of large-scale structures are presented. These techniques are developed based on some methods from photogrammetry and computer vision such as the optical flow method and the egomotion estimation. Examples used to illustrate these techniques include response measurement of buildings and cable-stayed bridges. Results show that the image-based sensing techniques have a great potential for accurately measuring displacement responses of these large-scale structures.

Citation Download Citation

C. C. Chang "From photogrammetry, computer vision to structural response measurement", Proc. SPIE 6529, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007, 652903 (5 April 2007); https://doi.org/10.1117/12.723484

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