Please use this identifier to cite or link to this item:
|Title:||Content-based filtering for fast 3D reconstruction from unstructured web-based image data||Authors:||Makantasis, Konstantinos
Doulamis, Anastasios D.
Doulamis, Nikolaos D.
Matsatsinis, Nikolaos F.
|Keywords:||3D reconstruction;Content-based filtering;Image matching;Outliers’ removal||Category:||Electrical Engineering - Electronic Engineering - Information Engineering||Field:||Engineering and Technology||Issue Date:||2014||Publisher:||Springer Verlag||Source:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. 8740, 2014, pp. 91-101||Journal:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||Abstract:||The huge amount of visual collections provides a unique opportunity for cultural heritage e-documentation and 3D reconstruction. The main difficulty, however, is its unstructured nature. In this paper a new content-based image filtering is proposed to discard image outliers that either confuse or significantly delay the 3D reconstruction process. The presented approach exploits a densebased unsupervised paradigm applied on multi-dimensional manifolds where images are represented as image points. The multidimensional scaling algorithm is adopted to relate the space of the image distances with the space of Gram matrices to compute the image coordinates. Evaluation on a dataset of about 31,000 cultural heritage images being retrieved from internet collections with many outliers indicate the robustness and cost effectiveness of the proposed method towards an affordable 3D reconstruction.||ISSN:||0302-9743||DOI:||10.1007/978-3-319-13695-0||Rights:||© 2014 Springer||Type:||Book Chapter|
|Appears in Collections:||Άρθρα/Articles|
Show full item record
Page view(s) 5097
checked on Sep 20, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.