ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W3, 295-300, 2015
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W3/295/2015/
doi:10.5194/isprsannals-II-5-W3-295-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
12 Aug 2015
Crowdsourcing Lost Cultural Heritage
E. K. Stathopoulou1, A. Georgopoulos1, G. Panagiotopoulos2, and D. Kaliampakos2 1Lab. of Photogrammetry, School of Rural and Surveying Engineering, National Technical University of Athens – 15780 Zografou Athens, Greece
2Lab. of Mining Engineering and Environmental Mining, School of Mining and Metallurgical Engineering, National Technical University of Athens – 15780 Zografou Athens, Greece
Keywords: SfM, 3D visualisation, Crowdsourcing, Cultural Heritage Abstract. Cultural Heritage all over the world is at high risk. Natural and human activities endanger the current state of monuments and sites, whereas many of them have already been destroyed especially during the last years. Preventive actions are of utmost importance for the protection of human memory and the prevention of irreplaceable. These actions may be carried out either in situ or virtually. Very often in situ preventive, or protective or restoration actions are difficult or even impossible, as e.g. in cases of earthquakes, fires or war activity. Digital preservation of cultural heritage is a challenging task within photogrammetry and computer vision communities, as efforts are taken to collect digital data, especially of the monuments that are at high risk. Visit to the field and data acquisition is not always feasible. To overcome the missing data problem, crowdsourced imagery is used to create a visual representation of lost cultural heritage objects. Such digital representations may be 2D or 3D and definitely help preserve the memory and history of the lost heritage. Sometimes they also assist studies for their reconstruction. An initiative to collect imagery data from the public and create a visual 3D representation of a recently destroyed stone bridge almost 150 years old is being discussed in this study. To this end, a crowdsourcing platform has been designed and the first images collected have been processed with the use of SfM algorithms.
Conference paper (PDF, 1016 KB)


Citation: Stathopoulou, E. K., Georgopoulos, A., Panagiotopoulos, G., and Kaliampakos, D.: Crowdsourcing Lost Cultural Heritage, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W3, 295-300, doi:10.5194/isprsannals-II-5-W3-295-2015, 2015.

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