Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/19396
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Skarlatos, Dimitrios | - |
dc.contributor.author | Agrafiotis, Panagiotis | - |
dc.date.accessioned | 2020-11-13T09:08:51Z | - |
dc.date.available | 2020-11-13T09:08:51Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Springer Series on Cultural Computing, 2020, pp. 141-158 | en_US |
dc.identifier.isbn | 978-3-030-37191-3 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/19396 | - |
dc.description.abstract | Underwater Cultural Heritage (CH) sites are widely spread; from ruins in coastlines up to shipwrecks in deep. The documentation and preservation of this heritage is an obligation of the mankind, dictated also by the international treaties like the Convention on the Protection of the Underwater Cultural Heritage which fosters the use of “non-destructive techniques and survey methods in preference over the recovery of objects”. However, submerged CH lacks in protection and monitoring in regards to the land CH and nowadays recording and documenting, for digital preservation as well as dissemination through VR to wide public, is of most importance. At the same time, it is most difficult to document it, due to inherent restrictions posed by the environment. In order to create high detailed textured 3D models, optical sensors and photogrammetric techniques seems to be the best solution. This chapter discusses critical aspects of all phases of image based underwater 3D reconstruction process, from data acquisition and data preparation using colour restoration and colour enhancement algorithms to Structure from Motion (SfM) and Multi-View Stereo (MVS) techniques to produce an accurate, precise and complete 3D model for a number of applications. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © Springer Nature | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Underwater photogrammetry | en_US |
dc.subject | Autonomous Underwater Vehicle (AUV) | en_US |
dc.subject | Shipwrecks | en_US |
dc.title | Image-based underwater 3d reconstruction for cultural heritage: from image collection to 3d. critical steps and considerations | en_US |
dc.type | Book Chapter | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | National Technical University Of Athens | en_US |
dc.subject.category | Civil Engineering | en_US |
dc.country | Cyprus | en_US |
dc.country | Greece | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1007/978-3-030-37191-3_8 | en_US |
cut.common.academicyear | 2019-2020 | en_US |
dc.identifier.spage | 141 | en_US |
dc.identifier.epage | 158 | en_US |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_3248 | - |
item.cerifentitytype | Publications | - |
item.openairetype | bookPart | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-2732-4780 | - |
crisitem.author.orcid | 0000-0003-4474-5007 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Κεφάλαια βιβλίων/Book chapters |
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