Back to articles
Volume: 33 | Article ID: art00005
Approach for Identification of Geometry Change on Cultural Heritage Surface
  DOI :  10.2352/ISSN.2470-1173.2021.18.3DIA-064  Published OnlineJanuary 2021

Application of optical metrology techniques in the collection of surface data and its 3D representation can improve the digital documentation of the conservation and restoration process of artworks. The tracking of induced change after the restoration process on cultural heritage (CH) surfaces involves a computational analysis of surface geometry. In the analysis, the conservation scientists were interested to see what impact the fillings of some holes have on its nearby surrounding during the reconstruction. In theory, the loss compensation method for stone should allow conservators to make a filling that only exists in the place of the void, but it is highly unlikely to make a filling that will only adhere to the substrate at the void site and not protrude elsewhere. According to the conservator scientists, we proposed an approach of local geometry changes to identify and visualize changes and presented the outcome through a local neighborhood distance histogram. This analysis will give us overall surface change considering each surface point and its respective neighborhood points and what impact it faced due to the reconstruction process. The work is also focused on developing the representation of each type of loss compensation method to make it more objective according to a restorer’s point of view and simplify their work visibility.

Subject Areas :
Views 55
Downloads 22
 articleview.views 55
 articleview.downloads 22
  Cite this article 

Sunita Saha, Anna Duda-Maczuga, Athanasia Papanikolaou, Robert Sitnik, "Approach for Identification of Geometry Change on Cultural Heritage Surfacein Proc. IS&T Int’l. Symp. on Electronic Imaging: 3D Imaging and Applications,  2021,  pp 64-1 - 64-7,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2021
Electronic Imaging
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA