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How project INDIGO automatically turns graffiti photos into orthophotomaps

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 23 Sep 2022 English Publisher:Zenodo

Authors: Wild, Benjamin; Verhoeven, Geert Julien; Wieser, Martin; Wogrin, Stefan; Pfeifer, Norbert;

doi: 10.5281/zenodo.7109430 , 10.5281/zenodo.7109431

How project INDIGO automatically turns graffiti photos into orthophotomaps

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Abstract

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

Related Organizations

TU Wien
Austria

Keywords

Image-based modelling, Photogrammetry, Orthophoto, Computer vision, Metashape, Graffiti, Python

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