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Graffiti are a short-lived and polarising form of cultural heritage. The graffiti-focused research project INDIGO, funded by ÖAW, documents and digitally preserves (almost) every graffito created along Vienna’s Donaukanal, one of the world’s largest graffiti hotspots. A central aim of INDIGO is the creation of a georeferenced orthophoto for each graffito, which digitally geo-localizes the graffito in 3D space and facilitates the interpretation in a spatial context. The poster explains the “orthophoto” concept and details how INDIGO uses modern photogrammetric techniques to derive them automatically.
The source code of AUTOGRAF can be downloaded from https://github.com/GraffitiProjectINDIGO/AUTOGRAF
Image-based modelling, Photogrammetry, Orthophoto, Computer vision, Metashape, Graffiti, Python
Image-based modelling, Photogrammetry, Orthophoto, Computer vision, Metashape, Graffiti, Python
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