Tag recognition: a new methodology for the structural monitoring of cultural heritage

In this paper, a new methodology for measuring the cracking in the field of Structural Health Monitoring (SHM)of cultural heritage, is presented. The minimum invasiveness of this methodology permits to preserve the aesthetic appearance, a fundamental requirement in monitoring of cultural heritage. The core of the acquisition system is composed by two small adhesive tags to be attached on the artwork surface, and a high-resolution camera acquiring images of the tags. The relative distance between the optical tags for determining is determined using advanced least-squares fitting of quadratic curves and surfaces algorithms for the objective function. Here, the bi-dimensional Gaussian as objective function has been taken into account, in order to findthe best configuration for determining the fitting parameters, useful for the SHM. We ran a simulation for tuningfitting algorithm parameters. Then we validated the methodology through an experimental session