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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.