Gleich an vier StĂ¤nden zeigte das i3mainz auf dem Mainzer Wissenschaftsmarkt 2018 PrĂ¤senz. Aus den Forschungen des i3mainz prĂ¤sentierte sich das...
Das i3mainz gratuliert Waldemar Kisser herzlich zur erfolgreichen wissenschaftlichen Aussprache. In seiner Dissertation befasste er sich mit dem Thema: â€žDer...
Dieser Beitrag beschreibt die a priori AbschĂ¤tzung erreichbarer Genauigkeiten der BĂĽndelblockausgleichung. Dies geschieht mit Hilfe des EMVA1288 Standards. Durch numerische Simulationen wird hierzu zunĂ¤chst die Zentrumsunsicherheit der Zielmarken mit der daraus folgenden Objektraum-Unsicherheit verknĂĽpft. Der nĂ¤chste Schritt ist eine VerknĂĽpfung der EMVA1288-Kennzahlen und der daraus resultierenden Unsicherheit eines Grauwertes mit Algorithmen zur Ellipsendetektion. AbschlieĂźend wird ein stochastisches Modell vorgeschlagen und an einer real durchgefĂĽhrten Kamerakalibrierung untersucht.
The activities of COSCH community and the disciplines it represents were as diverse as they could possibly be in research into cultural heritage. To achieve common goals it was of utmost importance to have a common understanding of these diverse activities and disciplines. Work on the COSCH Knowledge Representation, or COSCHKR, was undertaken to develop a common semantic base representing different disciplines and to facilitate communication within the Action. The COSCHKR is an ontology-based inference model, guided by inference rules that provide a semantic bridge between various interdisciplinary activities involved in non-invasive technical documentation of material cultural heritage. The model is intended to support humanities experts by recommending optimal spatial and spectral techniques. The model may also be used by technology experts to compare their own solutions with the ones recommended through COSCHKR, and to understand why they may differ.
In this chapter we present the methods adopted for designing the COSCHKR and the steps in the development of the inference model. The difficulties in maintaining a common level of understanding within the diverse disciplines during the knowledge acquisition process are discussed. We present mechanisms and methods of information collection, its structuring, and aligning, to formulate different axioms and theorems within the model. The design and development of COSCHKR was based on an iterative procedure where the gathered knowledge was first verified with the group of experts before it was processed. This verification mechanism was important for the reliability of the model, ensuring technical consistency. This chapter highlights the importance of these iterative mechanisms in the validation of knowledge gathered and then information populated inside the knowledge base.
The aim of this study was to examine and document the wall paintings in the ChĂ˘teau de Germolles. Situated in Burgundy, France, Germolles is the best preserved residence of the Dukes of Burgundy and was listed as a monument of national importance in 1989.
The medieval wall decoration of the ChĂ˘teau de Germolles was rediscovered under the nineteenth-century plasters during World War II. Medieval accounts of the chĂ˘teau provide a detailed list of the materials acquired to make the mural decoration, but this list is incongruous when compared with the current appearance of the paintings. The discrepancy between the archival and material evidence, and also the need to understand the complexity of the painting technique used were the main motivations for undertaking the case study described in this chapter. Imaging alongside more traditional examination techniques were utilized to record and document the mural decoration. The objectives of the case study were to distinguish the original materials from those applied during restoration, identify those materials, and correlate them with the archives. We also tried to understand the medieval painting techniques used and assess the condition of the paintings and stabilization requirements. Finally we aimed to find a sustainable solution for the management of the various types of data collected. Various techniques and investigations offered valuable insights into the materials and the painting technique used. To improve visitor experience, based on the information gained in the course of this study, a 3D virtual representation of the original decoration is currently proposed for display to the public visiting the ChĂ˘teau de Germolles.
Accuracy, Artefact, Feature, Precision, Reconstruction, Resolution, Texture, Uncertainty are words central to many discussions of the documentation of CH. This chapter charts the interdisciplinary discussion towards a common understanding of terminologies used in CH. It is a discussion that recognizes critical differences or common misuse, and aims to contribute to a shared understanding that may be useful for all knowledge domains in the field.
It is common for cultural heritage applications to use spatial and/or spectral data for documentation, analysis and visualisation. Knowledge on data requirements coming from the cultural heritage application and technical alternatives to generate the required data based on object characteristics and other influencings factors paves the way for the optimal selection of a recording technology. It is a collaborative process requiring knowledge of experts from cultural heritage domains and technical domains. Currently, this knowledge is structured and stored in an ontology (so-called COSCHKR). It has the purpose to support CH experts not familiar with technologies through prescribing an optimal spatial or spectral recording strategy adapted to the physical characteristics of the cultural heritage object and the data requirements of the targeted CH application. The creation of digital 3D reconstructed models for analysis and visualisation purposes is getting more and more common within humanities disciplines. Therefore, an implementation of mechanisms involved in visualisation applications into this ontology would have huge benefits in creating a powerful recommendation solution. A structured view on such project workflows facilitates a rough match with the existing knowledge representation. Illustrating the overall structure of COSCHKR, this paper addresses and discusses challenges in structuring the processes of cultural heritage visualisation and implementing these into the ontology.