3D scanning and analysis of acquired data of historically and culturally significant objects referring to the work of Adalbert Stifter

Abstract

The aim of the paper is to bring new findings from ongoing specific university research. Within this project, the light scanner scanned historically and culturally significant objects referring to the work of Czech-Austrian writer Adalbert Stifter in South Bohemia and Lower Austria. It also analyzed the data obtained with the light 3D scanner. The data was generated as a cloud of points. With respect to object´s size, multiple parts of each object were scanned individually. By combining individual scans and removing unwanted points (noise), models - digital twins of objects - were developed. Created models are valuable for their use for virtual tours of historically and culturally significant places. The final models were modified for printing on a 3D printer, where they were subsequently printed.

Influence of Material on the Density of a Point Cloud Created Using a Structured-Light 3D Scanner

“…Based on previous experience with the Artec Eva Lite scanner, we assume that this is a material that has the following properties [11,32]:…”

“…J. Kesik et al [47] describes structuredlight 3D scanning of heritage objects in a museum environment. Also, our own research [11] was focused on the creation of a digital model of Adalbert Stifter's monuments using structured light. The mentioned studies have been solving the point cloud quality issue in various ways.…”

“…From our own experience working with the creation of digital models [2,11,32] from point clouds, we know that a very accurate 3D model can usually be semi-automatically created at a density of a point cloud of 2200 points/cm 2 . For this reason, we have scanned each material to find out if the point cloud density reaches this limit.…”

“…It is obvious that when the amount of data contained in a point cloud is limited, distortions and inaccuracies occur in the creation of a 3D model [10]. However, in many cases, the mere geometry of the shapes of the scanned object will be sufficient, and we will not need to acquire data about the surface texture of the material or its color [1,11]. It turns out, however, that when scanning processes are simplified, the density of the scanned point clouds will be directly influenced by the type of surface in question [12,13].…”

“…The points from the original point cloud are compared with the points from another point cloud after the surface of the scanned object has been treated [17]. It is known that the reflectivity of the surface and its shape have a great influence on the resulting density of the point cloud [11]. The article aims to suggest the treatments of the surface of materials and conditions in data acquisition so that the density of the point cloud reaches the required values.…”