MOSAIC is a tool for jigsaw puzzle solving. It is designed to assist cultural heritage operators in reconstructing broken pictorial artifacts from their fragments. These undergo feature extraction and feature based indexing, so that any fragment can be the key to queries about color distribution, shape and texture. Query results are listed in order of similarity, which helps the user to locate fragments likely to be near the key fragment in the original picture. A complete working protocol is provided to bring the user from the raw materials to a working database. System performance has been assessed with both computer simulations and a real case study involving the reconstruction of a XV century fresco.

Multi-object segmentation for assisted image reconstruction / Caggiano, Sonia; De Marsico, Maria; Distasi, Riccardo; Riccio, Daniel. - 2:(2015), pp. 100-107. (Intervento presentato al convegno 4th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2015 tenutosi a prt nel 2015) [10.5220/0005274601000107].

Multi-object segmentation for assisted image reconstruction

RICCIO, Daniel
2015

Abstract

MOSAIC is a tool for jigsaw puzzle solving. It is designed to assist cultural heritage operators in reconstructing broken pictorial artifacts from their fragments. These undergo feature extraction and feature based indexing, so that any fragment can be the key to queries about color distribution, shape and texture. Query results are listed in order of similarity, which helps the user to locate fragments likely to be near the key fragment in the original picture. A complete working protocol is provided to bring the user from the raw materials to a working database. System performance has been assessed with both computer simulations and a real case study involving the reconstruction of a XV century fresco.
2015
9789897580772
9789897580772
Multi-object segmentation for assisted image reconstruction / Caggiano, Sonia; De Marsico, Maria; Distasi, Riccardo; Riccio, Daniel. - 2:(2015), pp. 100-107. (Intervento presentato al convegno 4th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2015 tenutosi a prt nel 2015) [10.5220/0005274601000107].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/659574
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