Geert J. Verhoeven

PhD Archaeology



University of Vienna

Franz-Klein-Gasse 1
Room A5.04 (5th floor)
1190 Vienna
Austria



Urban creativity meets engineering. Automated graffiti mapping along Vienna's Donaukanal


Conference paper


Benjamin Wild, Geert J. Verhoeven, Stefan Wogrin, Martin Wieser, Camillo Ressl, Johannes Otepka-Schremmer, Norbert Pfeifer
Geert J. Verhoeven, Jona Schlegel, Benjamin Wild, Stefan Wogrin, Massimiliano Carloni, document | archive | disseminate graffiti-scapes. Proceedings of the goINDIGO 2022 international graffiti symposium, Urban Creativity, Lisbon, 2023, pp. 131-145


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APA   Click to copy
Wild, B., Verhoeven, G. J., Wogrin, S., Wieser, M., Ressl, C., Otepka-Schremmer, J., & Pfeifer, N. (2023). Urban creativity meets engineering. Automated graffiti mapping along Vienna's Donaukanal. In G. J. Verhoeven, J. Schlegel, B. Wild, S. Wogrin, & M. Carloni (Eds.), document | archive | disseminate graffiti-scapes. Proceedings of the goINDIGO 2022 international graffiti symposium (pp. 131–145). Lisbon: Urban Creativity. https://doi.org/10.48619/indigo.v0i0.705


Chicago/Turabian   Click to copy
Wild, Benjamin, Geert J. Verhoeven, Stefan Wogrin, Martin Wieser, Camillo Ressl, Johannes Otepka-Schremmer, and Norbert Pfeifer. “Urban Creativity Meets Engineering. Automated Graffiti Mapping along Vienna's Donaukanal.” In Document | Archive | Disseminate Graffiti-Scapes. Proceedings of the GoINDIGO 2022 International Graffiti Symposium, edited by Geert J. Verhoeven, Jona Schlegel, Benjamin Wild, Stefan Wogrin, and Massimiliano Carloni, 131–145. Lisbon: Urban Creativity, 2023.


MLA   Click to copy
Wild, Benjamin, et al. “Urban Creativity Meets Engineering. Automated Graffiti Mapping along Vienna's Donaukanal.” Document | Archive | Disseminate Graffiti-Scapes. Proceedings of the GoINDIGO 2022 International Graffiti Symposium, edited by Geert J. Verhoeven et al., Urban Creativity, 2023, pp. 131–45, doi:10.48619/indigo.v0i0.705.


BibTeX   Click to copy

@inproceedings{wild2023a,
  title = {Urban creativity meets engineering. Automated graffiti mapping along Vienna's Donaukanal},
  year = {2023},
  address = {Lisbon},
  pages = {131-145},
  publisher = {Urban Creativity},
  doi = {10.48619/indigo.v0i0.705},
  author = {Wild, Benjamin and Verhoeven, Geert J. and Wogrin, Stefan and Wieser, Martin and Ressl, Camillo and Otepka-Schremmer, Johannes and Pfeifer, Norbert},
  editor = {Verhoeven, Geert J. and Schlegel, Jona and Wild, Benjamin and Wogrin, Stefan and Carloni, Massimiliano},
  booktitle = {document | archive | disseminate graffiti-scapes. Proceedings of the goINDIGO 2022 international graffiti symposium}
}

Abstract
Graffiti are polarising. Some consider them vandalism, others part of our cultural heritage. If we consider graffiti to be part of our cultural heritage, we should also treat them as such. However, long-term and detailed graffiti documentation initiatives are sparse, so many of the existing archives with graffiti records are biased and incomplete. In addition, graffiti records usually suffer from decontextualisation, that is the lack of environmental information (be it spatially, temporally, but also smell and weather conditions). This means that graffiti documentation might not reflect the intended setting or meaning by the creator. INDIGO, a graffiti-centred academic project, largely overcomes the issue of decontextualisation by designing and implementing photogrammetric engineering approaches that support the ongoing documentation of an extensive graffiti-scape. The latter is situated along the Donaukanal, Vienna’s central waterway and one of the most prominent graffiti hotspots worldwide. One innovation developed in the framework of INDIGO is a freely available Metashape add-on called AUTOGRAF. AUTOGRAF employs photogrammetric computer vision techniques to automatically create ortophotographs from all photographed graffiti. Orthophotographs or orthophotomaps are distortion-free images, combining photographs’ visual qualities with characteristics of maps. They allow embedding the graffiti in their native, albeit virtual, 3D environment and can thus largely overcome decontextualisation.
In this contribution, we showcase the significant advantages of orthophotomaps over conventional photographs and introduce the AUTOGRAF-based workflow that allows the automated derivation of graffiti orthophotos. INDIGO will use this tailor-made tool to enable graffiti analysis in unprecedented detail by mapping and displaying graffiti in their original setting along the Donaukanal.

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