L'utilizzo di metodi automatici per l'analisi della forma applicati alla ricerca archeologica

Autori

  • Loris Nanni Università  di Padova
  • Alessandra Lumini DISI , University of Bologna, via Venezia 52, 47023 Cesena Italy
  • Monica Toschi Dipartimento di Beni Culturali ” Via degli Ariani, 1 48121 - Ravenna – Italia

DOI:

https://doi.org/10.48258/arc.v4i4.278

Parole chiave:

computer vision, pattern recognition, database, descrittori di forma, vasi, motivi decorativi.

Abstract

The classiï¬cation of shape (e.g. piece of potteries, motif identification, hieroglyphics classification...) is a time consuming task for human being, therefore the objective to develop an automated system for shape classification is welcomed for many archaeologists, freeing them from tedious efforts. Moreover, due to the lack of human experts several artifacts are not studied, this problem could be alleviated using automated systems.

A main problem of several proposed shape classifiers is that they need a parameters tuning in each different problem. We show that our system based on an ensemble of approaches is able  to work in different applications exactly with the same parameters. This is a very useful for practitioners, with little knowledge of pattern recognition, that need a quick method for their shape classification problem.

Two case studies are here reported:

  • automatic classification of the several diverse motifs that are used in the pottery of Kamares style (Cretan  cultural  production  between  the  first  half  of the 2nd millennium BC);
  • pieces of pottery classification found in the area of the ancient port city of Class (Italy).

The matlab code of the proposed system will be available at http://www.dei.unipd.it/wdyn/?IDsezione=3314&IDgruppo_pass=124&preview= as baseline for other researchers. 

Biografia autore

Loris Nanni, Università  di Padova

Department of Information Engineering-

Riferimenti bibliografici

Belongie, S., Malik, J., Puzicha, J., 2002. Shape matching and object recognition using shape contexts. IEEE Trans. Pattern Anal. Mach. Intell. 24 (24), 509–522.

Bonifay M., Etudes sur la céramique romaine tardive d'Afrique, Archaeopress, 2004

Guarnera, G. C., Stanco, F., Tanasi, D., & Gallo, G. (2010). Classification of decorative patterns in Kamares pottery. In M. Samuelcik (a cura di), Proceedings of SCCG 26th Spring Conference on Computer Graphics (pp. 20-23).

Keay S. J., Late roman amphorae in the western Mediterranean: a typology and economy study, the Catalan evidence, 1984.

Krassimira I., Content-Based Image Retrieval in Digital Libraries of Art Images Utilizing Colour Semantics. Proceeding of: Research and Advanced Technology for Digital Libraries - International Conference on Theory and Practice of Digital Libraries, TPDL 2011, Berlin, Germany, September 26-28, 2011.

Ling, H., Jacobs, D.W., 2007. Shape classification using the inner-distance. IEEE Trans. Pattern Anal. Mach. Intell. 29 (2), 286–299.

Lumini A. and D. Maio, A shape similarity approach for searching images in a large database of works of art, in proceedings 2nd International Congress on "Science and Technology for the Safeguard of Cultural Heritage in the Mediterranean Basin", Paris (France), July 1999.

Lumini A., Fruizione di beni artistici in formato digitale: un approccio al reperimento di immagini per similarità , in proceedings Workshop "Intelligenza artificiale per i Beni Culturali" (99), Bologna (Italy), pp.99-108, September 1999

Nanni L., Brahnam S. and Lumini A., Local phase quantization descriptor for improving shape retrieval/classification, Pattern Recognition Letters, vol.33, no.16, 2012.

Ojansivu, V., Heikkila, J., 2008. Blur insensitive texture classification using local phase quantization. In: ICISP2008.

Stanco F., Tanasi D., Guarnera C., Gallo G., (2011)

Automatic classification of decorative patterns in the Minoan pottery of Kamares style, in C. Papaodysseus (a cura di), Pattern Recognition and Signal Processing in Archeometry: Mathematical and Computational Solutions for Archeology, IGI Global.

Stanco F., Tanasi D., (2011) Experiencing the Past. Computer Graphics in Archaeology, in F. Stanco, S. Battiato, G. Gallo, (a cura di), Digital Imaging for Cultural Heritage, CRC Press.

Wang, J., Bai, X., You, X., Liu, W., Latecki, L.J., 2012. Shape matching and classification using height functions. Pattern Recogn. Lett. 33 (2), 134–143

##submission.downloads##

Pubblicato

2013-10-04

Come citare

Nanni, L., Lumini, A., & Toschi, M. (2013). L’utilizzo di metodi automatici per l’analisi della forma applicati alla ricerca archeologica. Archeomatica, 4(4). https://doi.org/10.48258/arc.v4i4.278

Fascicolo

Sezione

Rivelazioni