Documentation instead of visualization - applications of 3D scanning in works of art analysis

Eryk Bunsch; Robert Sitnik

doi:10.1117/12.839193

11 May 2010 Documentation instead of visualization - applications of 3D scanning in works of art analysis

Eryk Bunsch, Robert Sitnik

Proceedings Volume 7531, Computer Vision and Image Analysis of Art; 75310I (2010) https://doi.org/10.1117/12.839193
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

Recent advancements in 3D scanning technology open a window of opportunity in works of art documentation's possibilities. Contrary to classic techniques of visual documentation (a drawing or photograph), 3D scanning may become the first technique offering objective and dispassionate recording of reality because the subjective stage of analysis takes place only during final data processing by end users such as art conservators, historians, archeologists and epigraphers. The general assumption is made that the best representation of digitized work of art is rough measurement data (in many modern cases it is a cloud of points - a set of geometric (x, y, z) data along with additional parameters like color values, surface reflectance etc.). The concept of 3D scanning and data processing has to be designed by an interdisciplinary team, combining technical competency with knowledge of end users' requirements and demands. The basic points of this elaboration are: what additional measurement parameters, beside shape, are needed for full digitization of an object, as well as what accuracy of geometry measurement is high enough for registration of objects made from different materials. This last question is to be answered within a recently started three-year research program, whose methodological assumptions are stated in the presented paper. Some preliminary results are also shown together with discussion of achieved sampling density and accuracy.

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Eryk Bunsch and Robert Sitnik "Documentation instead of visualization - applications of 3D scanning in works of art analysis", Proc. SPIE 7531, Computer Vision and Image Analysis of Art, 75310I (11 May 2010); https://doi.org/10.1117/12.839193

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