Multi-Object Segmentation for Assisted Image reConstruction

Sonia Caggiano, Maria De Marsico, Riccardo Distasi, Daniel Riccio

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.

Paper Citation

in Harvard Style

Caggiano S., De Marsico M., Distasi R. and Riccio D. (2015). Multi-Object Segmentation for Assisted Image reConstruction . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 100-107. DOI: 10.5220/0005274601000107

in Bibtex Style

@conference{icpram15,
author={Sonia Caggiano and Maria De Marsico and Riccardo Distasi and Daniel Riccio},
title={Multi-Object Segmentation for Assisted Image reConstruction},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={100-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005274601000107},
isbn={978-989-758-077-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Multi-Object Segmentation for Assisted Image reConstruction
SN - 978-989-758-077-2
AU - Caggiano S.
AU - De Marsico M.
AU - Distasi R.
AU - Riccio D.
PY - 2015
SP - 100
EP - 107
DO - 10.5220/0005274601000107