[Back]


Talks and Poster Presentations (with Proceedings-Entry):

G. Verhoeven, B. Wild, J. Schlegel, M. Wieser, N. Pfeifer, S. Wogrin, L. Eysn, M. Carloni, B. Koschiček-Krombholz, A. Molada-Tebar, J. Otepka-Schremmer, C. Ressl, M. Trognitz, A. Watzinger:
"Project Indigo - Document, Disseminate & Analyse A Graffiti-Scape";
Talk: 9th ISPRS/CIPA workshop on "3D Virtual Reconstruction and Visualization of Complex Architectures", Mantua, Italy; 2022-03-02 - 2022-03-04; in: "9th International Workshop 3D-ARCH "3D Virtual Reconstruction and Visualization of Complex Architectures"", The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLVI-2/W1-2022 (2022), ISSN: 1682-1750; 513 - 520.



English abstract:
Graffiti is a short-lived form of heritage balancing between tangible and intangible, offensive and pleasant. Graffiti makes people laugh, wonder, angry, think. These conflicting traits are all present along Vienna's Donaukanal (Eng. Danube Canal), a recreational hotspot - located in the city's heart - famous for its endless display of graffiti. The graffiti-focused heritage science project INDIGO aims to build the basis to systematically document, monitor, and analyse circa 13 km of Donaukanal graffiti in the next decade. The first part of this paper details INDIGO's goals and overarching methodological framework, simultaneously placing it into the broader landscape of graffiti research. The second part of the text concentrates on INDIGO's graffiti documentation activities. Given the project's aim to create a spatially, spectrally, and temporally accurate record of all possible mark-makings attached in (il)legal ways to the public urban surfaces of the Donaukanal, it seems appropriate to provide insights on the photographic plus image-based modelling activities that form the foundation of INDIGO's graffiti recording strategy. The text ends with some envisioned strategies to streamline image acquisition and process the anticipated hundreds of thousands of images.

Keywords:
graffiti, heritage science, image-based modelling, laser scanning, photography, street art, structure from motion


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-513-2022


Created from the Publication Database of the Vienna University of Technology.