Adaption of Imaging Techniques for Monitoring Cultural Heritage Objects Amalia Siatou 1,2(B ) , Athanasia Papanikolaou 3 , and Evdokia Saiti 4 1 HES-SO, Haute Ecole Arc Conservation-Restauration, Neuchˆatel, Switzerland amalia.siatou@he-arc.ch 2 Laboratory of Imaging and Artificial Vision, UBFC, Dijon, France 3 Faculty of Mechatronics, WUT, Warsaw, Poland Athanasia.Papanikolau@pw.edu.pl 4 Department of Computer Science, NTNU, Trondheim, Norway evdokia.saiti@ntnu.no Abstract. The paper describes the ongoing research on an interdis- ciplinary 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 potential- ity 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 algo- rithms 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. Keywords: Monitoring · Cross-time registration · Reflectance transformation imaging · 3D Digital Image Correlation 1 Introduction The interaction of Cultural Heritage (CH) objects with the environment can result in changes of their physical properties and their appearance attributes. Extensive research has been carried out on imaging methods for understanding, This work has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-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. c  The Author(s), under exclusive license to Springer Nature Switzerland AG 2022 A. Osman and A. Moropoulou (Eds.): Advanced Nondestructive and Structural Techniques for Diagnosis, Redesign and Health Monitoring for the Preservation of Cultural Heritage, SPM 16, pp. 38–47, 2022. https://doi.org/10.1007/978-3-031-03795-5_6