Cloud-based 3D Reconstruction of Cultural Heritage Monuments using Open Access Image Repositories

dc.contributor.authorHadjiprocopis, Andreasen_US
dc.contributor.authorWenzel, Konraden_US
dc.contributor.authorRothermel, Mathiasen_US
dc.contributor.authorIoannides, Marinosen_US
dc.contributor.authorFritsch, Dieteren_US
dc.contributor.authorKlein, Michaelen_US
dc.contributor.authorJohnsons, Paul S.en_US
dc.contributor.authorWeinlinger, Guentheren_US
dc.contributor.authorDoulamis, Anastasiosen_US
dc.contributor.authorProtopapadakis, Eftychiosen_US
dc.contributor.authorKyriakaki, Georgiaen_US
dc.contributor.authorMakantasis, Kostasen_US
dc.contributor.authorFellner, Dieter W.en_US
dc.contributor.authorStork, Andreen_US
dc.contributor.authorSantos, Pedroen_US
dc.contributor.editorReinhard Klein and Pedro Santosen_US
dc.date.accessioned2014-12-16T07:24:49Z
dc.date.available2014-12-16T07:24:49Z
dc.date.issued2014en_US
dc.description.abstractA large number of photographs of cultural heritage items and monuments is publicly available in various Open Access Image Repositories (OAIR) and social media sites. Metadata inserted by camera, user and host site may help to determine the photograph content, geo-location and date of capture, thus allowing us, with relative success, to localise photos in space and time. Additionally, developments in Photogrammetry and Computer Vision, such as Structure from Motion (SfM), provide a simple and cost-effective method of generating relatively accurate camera orientations and sparse and dense 3D point clouds from 2D images. Our main goal is to provide a software tool able to run on desktop or cluster computers or as a back end of a cloud-based service, enabling historians, architects, archaeologists and the general public to search, download and reconstruct 3D point clouds of historical monuments from hundreds of images from the web in a cost-effective manner. The end products can be further enriched with metadata and published. This paper describes a workflow for searching and retrieving photographs of historical monuments from OAIR, such as Flickr and Picasa, and using them to build dense point clouds using SfM and dense image matching techniques. Computational efficiency is improved by a technique which reduces image matching time by using an image connectivity prior derived from low-resolution versions of the original images. Benchmarks for two large datasets showing the respective efficiency gains are presented.en_US
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage - Short Papers / Postersen_US
dc.identifier.isbn978-3-905674-75-0en_US
dc.identifier.urihttps://doi.org/10.2312/gch.20141316en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectDigitizing and Scanningen_US
dc.subjecten_US
dc.subjectI.3.7en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjecten_US
dc.subjectI.3.7en_US
dc.subjectVirtual realityen_US
dc.subjecten_US
dc.subjectI.3.8en_US
dc.subjectApplicationsen_US
dc.titleCloud-based 3D Reconstruction of Cultural Heritage Monuments using Open Access Image Repositoriesen_US
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