Digital 3D reconstruction methods have been widely applied to support research and the presentation of historical objects since the 1990s. While technological backgrounds, project opportunities as well as methodological considerations for application are widely discussed in literature, a comprehensive, model classification for digital 3D reconstruction is still lacking. Against this background, this article aims to discuss common approaches to classification of scholarly work. The identification of specific issues and challenges in the context of humanities research is also discussed. A prototype classification scheme for digital reconstruction in humanities research is proposed. It has been applied to and tested in two case studies.
CITATION STYLE
Münster, S., Hegel, W., & Kröber, C. (2016). A model classification for digital 3D reconstruction in the context of humanities research. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10025 LNCS, pp. 3–31). Springer Verlag. https://doi.org/10.1007/978-3-319-47647-6_1
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