AUTOGRAF—AUTomated Orthorectification of GRAFfiti Photos

Admired and despised, created destroyed, legal illegal: Contemporary graffiti are polarising, not everybody agrees to label them as cultural heritage. However, if one is among the steadily increasing number of heritage professionals academics that value these short-lived creations, their digital documentation can be considered a part our legacy future generations. To document geometric spectral properties graffito, photographs seem appropriate. This also holds true when documenting an entire graffiti-scape consisting 1000s individual creations. proper photo-based such scene comes with logistical technical challenges, certainly basis for further analysis assets. One main challenge relates themselves. Conventional suffer from multiple image distortions usually lack uniform scale, which hinders derivation dimensions proportions. In addition, single graffito photograph often does reflect meaning setting intended by graffitist, creation frequently shown isolated entity without its surrounding environment. other words, spatio-temporal context, major importance in studies. Here, we present AUTOGRAF, automated freely-available orthorectification tool converts conventional photos into high-resolution, distortion-free, georeferenced orthophotomaps, metric yet visual product. AUTOGRAF was developed framework INDIGO, graffiti-centred research project. Not only do support analysis, but they set placing native, albeit virtual, 3D An experiment showed 95 out 100 tested photo sets were successfully orthorectified, highlighting proposed methodology’s potential improve automate contemporary graffiti’s preservation.