loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Sonia Caggiano 1 ; Maria De Marsico 2 ; Riccardo Distasi 3 and Daniel Riccio 4

Affiliations: 1 Digital Painting Restoration, Italy ; 2 Sapienza Università di Roma, Italy ; 3 Università di Salerno, Italy ; 4 Università di Napoli “Federico II”, Italy

ISBN: 978-989-758-077-2

Keyword(s): Image processing, Feature extraction, Feature-based indexing, Jigsaw puzzle, Cultural heritage.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image Understanding ; Image-Based Modeling ; Object Recognition ; Pattern Recognition ; Shape Representation ; Software Engineering

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.207.137.4

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.