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Abstract

The paper describes the ongoing research on an interdisciplinary approach regarding the technological developments adapted for monitoring CH objects. It covers aspects from data capturing, to data processing and cross-time registration methodologies. The work of three individual projects, that are carried out in the framework of ITN-CHANGE (Horizon 2020, GA 813789) project, are presented. These projects are based on the different backgrounds and expertise of the co authors which, when combined, can cover a wide spectrum of information indispensable for the accurate monitoring of CH objects. The potentiality of 3D Digital Image Correlation (3D DIC) for monitoring in and out of plane displacements as well as advances in Reflectance Transformation Imaging (RTI) for data processing for monitoring specular surfaces, are examined. Computational cross-time and multi-modal registration algorithms are developed for correlating 3D non-registered data over-time. Feasibility studies on mock-ups and simulated data are presented for the validation of the adapted methodologies.

This work has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 813789. A. Papanikolaou greatly appreciates the financial support granted by the Scientific Council of the Discipline Automatic, Electronics and Electrical Engineering, WUT, grant agreement No. 504/04542/1143/43.020004.

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Correspondence to Amalia Siatou .

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Siatou, A., Papanikolaou, A., Saiti, E. (2022). Adaption of Imaging Techniques for Monitoring Cultural Heritage Objects. In: Osman, A., Moropoulou, A. (eds) Advanced Nondestructive and Structural Techniques for Diagnosis, Redesign and Health Monitoring for the Preservation of Cultural Heritage. Springer Proceedings in Materials, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-031-03795-5_6

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