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Authors: Konstantinos Makantasis 1 ; Yannis Katsaros 2 ; Anastasios Doulamis 3 and Matthaios Bimpas 3

Affiliations: 1 Technical University of Crete, Greece ; 2 EXUS Software Ltd., United Kingdom ; 3 National Technical University of Athens, Greece

Keyword(s): Feature Matching and Indexing, 3D Reconstruction, Image and Video Retrieval, Image-based Modeling.

Abstract: One of the main characteristics of Internet era is the free and online availability of extremely large collections of images. Although the proliferation of millions of shared photos provide a unique opportunity for cultural heritage e-documentation, the main difficulty is that Internet image datasets are unstructured. For this reason, this paper aims to describe a new image indexing scheme with application in 3D reconstruction. The presented approach is capable, on the one hand to index images in a fast and accurate way and on the other to select form an image dataset the most appropriate images for 3D reconstruction, improving this way reconstruction computational time, while simultaneously keeping the same reconstruction performance.

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Paper citation in several formats:
Makantasis, K.; Katsaros, Y.; Doulamis, A. and Bimpas, M. (2016). Online Indexing Structure for Big Image Data used for 3D Reconstruction. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: RGB-SpectralImaging; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 705-714. DOI: 10.5220/0005852207050714

@conference{rgb-spectralimaging16,
author={Konstantinos Makantasis. and Yannis Katsaros. and Anastasios Doulamis. and Matthaios Bimpas.},
title={Online Indexing Structure for Big Image Data used for 3D Reconstruction},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: RGB-SpectralImaging},
year={2016},
pages={705-714},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005852207050714},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: RGB-SpectralImaging
TI - Online Indexing Structure for Big Image Data used for 3D Reconstruction
SN - 978-989-758-175-5
IS - 2184-4321
AU - Makantasis, K.
AU - Katsaros, Y.
AU - Doulamis, A.
AU - Bimpas, M.
PY - 2016
SP - 705
EP - 714
DO - 10.5220/0005852207050714
PB - SciTePress

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