  Because of the advantages of easy deployment, low cost and non-contact,
computer vision-based structural displacement acquisition technique has
received wide attention and research in recent years. However, the displacement
field acquisition of large-scale structures is a challenging topic due to the
contradiction of camera field of view and resolution. This paper presents a
large-scale structural displacement field calculation framework with integrated
computer vision and physical constraints using only one camera. Firstly, the
full-field image of the large-scale structure is obtained by processing the
multi-view image using image stitching technique; secondly, the full-field
image is meshed and the node displacements are calculated using an improved
template matching method; and finally, the non-node displacements are described
using shape functions considering physical constraints. The developed framework
was validated using a scaled bridge model and evaluated by the proposed
evaluation index for displacement field calculation accuracy. This paper can
provide an effective way to obtain displacement fields of large-scale
structures efficiently and cost-effectively.
