Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/125388
Title: | Online indexing structure for big image data used for 3D reconstruction |
Authors: | Makantasis, Konstantinos Katsaros, Yannis Doulamis, Anastasios Bimpas, Matthaios |
Keywords: | Content-based image retrieval Image processing -- Digital techniques Three-dimensional imaging Big data -- Data processing Information storage and retrieval systems -- Cultural property |
Issue Date: | 2016-02 |
Publisher: | SciTePress |
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. |
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. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/125388 |
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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