CROWDSOURCING LOST CULTURAL HERITAGE

被引:25
|
作者
Stathopoulou, E. K. [1 ]
Georgopoulos, A. [1 ]
Panagiotopoulos, G. [2 ]
Kaliampakos, D. [2 ]
机构
[1] Natl Tech Univ Athens, Sch Rural & Surveying Engn, Lab Photogrammetry, Zografos 15780, Greece
[2] Natl Tech Univ Athens, Sch Min & Met Engn, Lab Min Engn & Environm Min, Zografos 15780, Greece
关键词
SfM; 3D visualisation; Crowdsourcing; Cultural Heritage; WORLD;
D O I
10.5194/isprsannals-II-5-W3-295-2015
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
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.
引用
收藏
页码:295 / 300
页数:6
相关论文
共 50 条
  • [1] Crowdsourcing the Reconstruction of Lost Heritage
    Vincent, Matthew
    Coughenour, Chance
    [J]. GIM INTERNATIONAL-THE WORLDWIDE MAGAZINE FOR GEOMATICS, 2016, 30 (11): : 21 - 23
  • [2] Crowdsourcing Our Cultural Heritage
    Neville, Kay
    [J]. ONLINE INFORMATION REVIEW, 2015, 39 (04) : 588 - 589
  • [3] Crowdsourcing our Cultural Heritage
    Grabow, Sven
    [J]. MUSEUM WORLDS, 2018, 6 (01) : 163 - 166
  • [4] Crowdsourcing our Cultural Heritage
    Kmiec, Mike
    [J]. LIBRARY REVIEW, 2015, 64 (6-7) : 506 - 507
  • [5] Crowdsourcing Our Cultural Heritage
    Blackburn, Fiona
    [J]. AUSTRALIAN ACADEMIC & RESEARCH LIBRARIES, 2015, 46 (03) : 222 - 223
  • [6] Crowdsourcing in Cultural Heritage Preservation and Research
    Kulikov, V.
    [J]. ISTORIYA-ELEKTRONNYI NAUCHNO-OBRAZOVATELNYI ZHURNAL, 2016, 7 (07):
  • [7] CrowdHeritage: Crowdsourcing for Improving the Quality of Cultural Heritage Metadata
    Kaldeli, Eirini
    Menis-Mastromichalakis, Orfeas
    Bekiaris, Spyros
    Ralli, Maria
    Tzouvaras, Vassilis
    Stamou, Giorgos
    [J]. INFORMATION, 2021, 12 (02) : 1 - 18
  • [8] Enhancing Cultural Heritage Data through Selective Crowdsourcing
    Olivieri, Alex C.
    Shabani, Shaban
    Liu, Zhan
    Sokhn, Maria
    [J]. 2017 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND INFORMATION SYSTEMS (ICACSIS), 2017, : 61 - 65
  • [9] Smart city and cultural heritage: resilience trought crowdsourcing involvement
    D'Angelo, A.
    Ricciardi, L.
    Gugliermetti, L.
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2018 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2018,
  • [10] A Crowdsourcing Recommendation Model for Image Annotations in Cultural Heritage Platforms
    Kamel, Menna Maged
    Gil-Solla, Alberto
    Guerrero-Vasquez, Luis Fernando
    Blanco-Fernandez, Yolanda
    Pazos-Arias, Jose Juan
    Lopez-Nores, Martin
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (19):