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Fast and efficient reconstruction of digitized frescoes.

Authors :
Lermé, Nicolas
Hégarat-Mascle, Sylvie Le
Zhang, Boyang
Aldea, Emanuel
Source :
Pattern Recognition Letters. Oct2020, Vol. 138, p417-423. 7p.
Publication Year :
2020

Abstract

• Automatic reconstruction of destroyed frescoes. • Efficiency with respect to a large number of irregular and spurious fragments. • Color-constrained matching between keypoints. • Analysis of the fresco and fragment features impacting the performance. Virtually recomposing destroyed frescoes is of great importance for heritage conservation. Given a digitized fresco image and a digitized set of fragments, such a problem is challenging due to the potentially large number of fragments, their irregular shape, uniqueness and non-overlapping constraints, the possible absence of fragments and the possible presence of small, homogeneous, eroded and/or spurious fragments. To cope with these specific features, we propose in this paper a fast and efficient non-dense approach benefiting from previous developments in pattern matching. Preliminary experiments led on simulations exhibit a mean accuracy above 90% with a mean translation error of less than 4 pixels and a mean orientation error of about 1 degree. An analysis of fresco and fragment features impacting the algorithm is also provided. Compared to a dense approach and the recent DeepMatch approach, the proposed one remains competitive both in running time and accuracy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01678655
Volume :
138
Database :
Academic Search Index
Journal :
Pattern Recognition Letters
Publication Type :
Academic Journal
Accession number :
146478416
Full Text :
https://doi.org/10.1016/j.patrec.2020.08.006