Print Email Facebook Twitter Computer vision and architectural history at eye level Title Computer vision and architectural history at eye level: Mixed methods for linking research in the humanities and in information technology (ArchiMediaL) Author Mager, Tino (Rijksuniversiteit Groningen) Khademi, S. (TU Delft Building Knowledge) Siebes, R.M. (Vrije Universiteit Amsterdam) van Gemert, J.C. (TU Delft Pattern Recognition and Bioinformatics) de Boer, Victor (Vrije Universiteit Amsterdam) Löffler, Beate (Technische Universität Dortmund) Hein, C.M. (TU Delft History, Form & Aesthetics) Contributor Schneider, Birgit (editor) Löffler, Beate (editor) Mager, Tino (editor) Hein, Carola (editor) Date 2023 Abstract Information on the history of architecture is embedded in our daily surroundings, in vernacular and heritage buildings and in physical objects, photographs and plans. Historians study these tangible and intangible artefacts and the communities that built and used them. Thus valuable insights are gained into the past and the present as they also provide a foundation for designing the future. Given that our understanding of the past is limited by the inadequate availability of data, the article demonstrates that advanced computer tools can help gain more and well-linked data from the past. Computer vision can make a decisive contribution to the identification of image content in historical photographs. This application is particularly interesting for architectural history, where visual sources play an essential role in understanding the built environment of the past, yet lack of reliable metadata often hinders the use of materials. The automated recognition contributes to making a variety of image sources usable for research. To reference this document use: http://resolver.tudelft.nl/uuid:2fbbc484-9add-4cc3-ad4d-cd92f943b2a0 DOI https://doi.org/10.1515/9783839469132-014 Publisher Bielefeld University Press ISBN 978-3-8376-6913-8 Source Mixing Methods: Practical Insights from the Humanities in the Digital Age Part of collection Institutional Repository Document type book chapter Rights © 2023 Tino Mager, S. Khademi, R.M. Siebes, J.C. van Gemert, Victor de Boer, Beate Löffler, C.M. Hein Files PDF 10.1515_9783839469132_014.pdf 915.71 KB Close viewer /islandora/object/uuid:2fbbc484-9add-4cc3-ad4d-cd92f943b2a0/datastream/OBJ/view