• Digital Humanities and Cultural Heritage
• 2017-2021close
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Digitally acquired 3D models of cultural assets are not always ready for further processing. Sometimes, the digital surface presents geometric or topological defects that may hinder downstream surface analysis algorithms. Furthermore, the high resolution meshes provided by acquisition might pose complexity issues to the processing afterwards. Preprocessing models can be a tedious and sometimes manual work. We present the processing needs for a set of cultural artifacts in the framework of the GRAVITATE project and describe a fully automatic procedure to fix and adaptively simplify 3D models of cultural interest.

In this paper we target the problem of the retrieval of colour patterns over surfaces. We generalize to surface tessellations the well known Local Binary Pattern (LBP) descriptor for images. The key concept of the LBP is to code the variability of the colour values around each pixel. In the case of a surface tessellation we adopt rings around vertices that are obtained with a sphere-mesh intersection driven by the edges of the mesh; for this reason, we name our method edgeLBP. Experimental results are provided to show how this description performs well for pattern retrieval, also when patterns come from degraded and corrupted archaeological fragments.

This paper presents the results of the SHREC'18 track: Retrieval of gray patterns depicted on 3D models. The task proposed in the contest challenges the possibility of retrieving surfaces with the same texture pattern of a given query model. This task, which can be seen as a simplified version of many real world applications, requires a characterization of the surfaces based on local features, rather then considering the surface size and/or bending. All runs submitted to this track are based on feature vectors. The retrieval performances of the runs submitted for evaluation reveal that texture pattern retrieval is a challenging issue. Indeed, a good balance between the size of the pattern and the dimension of the region around a vertex used to locally analyze the color evolution is crucial for pattern description.

See the abstract here: https://f.hypotheses.org/wp-content/blogs.dir/1044/files/2020/02/Rethinking-text-techné-and-tenure-VREs-as-an-evaluation-and-peer-review-challenge-in-Humanities.pdf

Digital manipulation and analysis of tangible cultural objects has the potential to bring about a revolution in the way classification, stylistic analysis, and refitting of fragments are handled in the cultural heritage area: 3D modelling, processing and analysis are now mature enough to allow handling 3D digitized objects as if they were physical, and semantic models allow for a rich documentation of many different aspects of artefacts or assets of any complexity, as well as of contextual information about them. In this perspective, the paper presents the ongoing development of a software workbench which integrates several tools that can be used, combined, and customized to provide scientists with a working environment to process and analyse digital assets. The general objective is to exemplify the potential of new platforms to work on digital models beyond the simple rendering and visualization of assets. In particular, the paper presents the design of the workbench - the Dashboard - which reflects the analysis of the requirements gathered in a specific community of archaeologists and curators: the functionalities included in the case study target mostly the ReUnification, ReAssembly and ReAssociation of fragmented or dispersed cultural assets.

This track of the SHREC 2018 originally aimed at recognizing relief patterns over a set of triangle meshes from laser scan acquisitions of archaeological fragments. This track approaches a lively and very challenging problem that remains open after the end of the track. In this report we discuss the challenges to face to successfully address geometric pattern recognition over surfaces; how the existing techniques can go further in this direction, what is currently missing and what is necessary to be further developed.

In the last few years, there has been an increase in digitalization efforts within the Cultural Heritage field, which boosted the interest for new strategies to improve documentation standards. While these concepts have been largely studied for most of the CH content types, 3D data still need to be fully worked out as document types. One of the most innovative methods to glue the documentation (i.e. the semantics) of the artifacts to their geometry is to exploit the technology of the semantic web and implement the semantic annotation pipeline for 3D data. Since the 3D representation of artifacts is not a standard, and in the particular case of triangular meshes there are differences of resolutions and vertices position, there is the strong need for tools which could allow for annotation persistence between representation switch. In this paper, we present the first results in the design of an automatic algorithm for annotation transfer between triangular meshes with different resolutions, provided that they represent the same artifact.

In the Visual Heritage domain, search engines are expected to support archaeologists and curators to address cross-correlation and searching across multiple collections. Archaeological excavations return artifacts that often are damaged with parts that are fragmented in more pieces or totally missing. The notion of similarity among fragments cannot simply base on the geometric shape but style, material, color, decorations, etc. are all important factors that concur to this concept. In this work, we discuss to which extent the existing techniques for 3D similarity matching are able to approach fragment similarity, what is missing and what is necessary to be further developed.