Research

Research

The research in CHANGE is grouped in three Work Packages (WPs). Here we will provide updates on the progress of the three WPs.

Lead BeneficiaryUBFC

WP3 has three defined tasks:

  1. To setup adapted and scalable acquisition systems for shape and/or appearance change capture according to the expressed need.
  2. To setup appropriate strategies for change assessment for multi-temporal acquisition (data registration Vs. sensors registration).
  3. To ensure the availability and the quality of imaging data for change analysis.

Update on progress to be presented.

Lead BeneficiaryWUT

WP 4 has four defined tasks:

  1. Computational robust methods for change detection and quantification of CH assets from multi modal and multi scale data.
  2. Methods for change visualization of CH assets from multi scale and multi modal data.
  3. Unify the data representation and the processing to ensure integrity and interoperability.
  4. Computational methods and procedure for validation of change detection assessment based on expert feedback

Update on progress

There is a significant progress in Task 1 (methods for change detection on 3D and appearance) and Task 2 (data registration and change visualisation). During that WP4 realisation numerous data processing methods are investigated and developed. They are addressing different data input/output representations like:

  • 2D multilayer data sets; images, multispectral/hyperspectral cubes, sequence of images for Digital Image Correlation (DIC), RTI source and output maps;
  • 3D multilayer data sets: 3D clouds of points (with optional multispectral colour, normal vectors, quality, etc.), 3D meshes, voxel representations.

As part of the data registration step, the state of the art method were reviewed and implementation and verification work began. They take into account different modalities as well as variable data dimensions and scale. Intensive work has begun related to the analysis of data on the surface recorded at different times allowing the development of indicators / parameters for assessing the change in selected features of these surfaces. The final element of the process is the visualization of results. Currently, most of the work is focused around results related to scientific visualization allowing evaluation by experts in the field.

Regarding Task 3 (unified framework for data representation, lineage and processing) it depends on result of Tasks 1 and 2 so it has been discussed but currently there is no direct output.

Task 4 is implemented in two ways. On the one hand, simulation works are carried out to assess the developed and tested algorithms using the generated synthetic data. On the other hand, test measurements of various historic surfaces are carried out to evaluate the developed and tested algorithms by experts from the CH area. Specialized case studies are planned in the future.

Lead BeneficiaryC2RMF

WP 5 has four defined tasks:

  1. Understand the needs of CH actors in the use of imaging techniques to monitor artifacts during their alteration and conservation (contextualization).
  2. Implement the best approach according to the materials and the corresponding artifacts (specification).
  3. Interpret the data collected and processed and combine them with other existing data (historic records, analyses, etc) for a better appreciation of surface and/or structural change.
  4. Validate and integrate the knowledge gained in WP3 and WP4 in the protocols developed.

Progress update to be presented.