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DC Field | Value | Language |
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dc.contributor.author | Makantasis, Konstantinos | - |
dc.contributor.author | Katsaros, Yannis | - |
dc.contributor.author | Doulamis, Anastasios | - |
dc.contributor.author | Bimpas, Matthaios | - |
dc.date.accessioned | 2024-08-12T11:26:26Z | - |
dc.date.available | 2024-08-12T11:26:26Z | - |
dc.date.issued | 2016-02 | - |
dc.identifier.citation | Makantasis, K., Katsaros, Y., Doulamis, A., & Bimpas, M. (2016, February). Online indexing structure for big image data used for 3D reconstruction. 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), Rome. 705-714. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/125388 | - |
dc.description.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. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | SciTePress | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Content-based image retrieval | en_GB |
dc.subject | Image processing -- Digital techniques | en_GB |
dc.subject | Three-dimensional imaging | en_GB |
dc.subject | Big data -- Data processing | en_GB |
dc.subject | Information storage and retrieval systems -- Cultural property | en_GB |
dc.title | Online indexing structure for big image data used for 3D reconstruction | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | 11th Joint conference on computer vision, imaging and computer graphics theory and applications - VISIGRAPP 2016 | en_GB |
dc.bibliographicCitation.conferenceplace | Rome, Italy, 27-29/02/2016. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.5220/0005852207050714 | - |
Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
File | Description | Size | Format | |
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Online indexing structure for big image data used for 3D reconstruction 2016.pdf | 2.24 MB | Adobe PDF | View/Open |
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