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Experimental assessment of rectification algorithm in vision-based deflection measurement system

Abstract An uncertainty assessment of a vision-based method for the measurement of a structure’s in-plane deflection is presented. In the investigated approach, the displacements of measurement points in the structure under load are computed by means of digital image correlation. The application of homography mapping enables the deflection field to be computed from two images of the structure acquired from distinct points in space. The impact of the camera’s pose and changes in focal length on the performance of the developed vision algorithm is investigated. The paper presents and discusses the influence of rectification algorithm on the quality of the vision-based measurement system as well.