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

Hadjiprocopis, Andreas and Wenzel, Konrad and Rothermel, Mathias and Ioannides, Marinos and Fritsch, Dieter and Klein, Michael and Johnsons, Paul S. and Weinlinger, Guenther and Doulamis, Anastasios and Protopapadakis, Eftychios and Kyriakaki, Georgia and Makantasis, Kostas and Fellner, Dieter W. and Stork, André and Santos, Pedro (2014):
Cloud-based 3D Reconstruction of Cultural Heritage Monuments using Open Access Image Repositories.
pp. 5-8, Eurographics Association, Goslar, GCH 2014. Short Papers - Posters, [Conference or Workshop Item]

Abstract

A 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.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Hadjiprocopis, Andreas and Wenzel, Konrad and Rothermel, Mathias and Ioannides, Marinos and Fritsch, Dieter and Klein, Michael and Johnsons, Paul S. and Weinlinger, Guenther and Doulamis, Anastasios and Protopapadakis, Eftychios and Kyriakaki, Georgia and Makantasis, Kostas and Fellner, Dieter W. and Stork, André and Santos, Pedro
Title: Cloud-based 3D Reconstruction of Cultural Heritage Monuments using Open Access Image Repositories
Language: English
Abstract:

A 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.

Publisher: Eurographics Association, Goslar
Uncontrolled Keywords: Business Field: Digital society, Research Area: Computer graphics (CG), Forschungsgruppe Semantic Models, Immersive Systems (SMIS), 3D Computer graphics, Virtual
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: GCH 2014. Short Papers - Posters
Date Deposited: 12 Nov 2018 11:16
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