Filippo Stanco
Filippo Stanco received the M.Sc. (summa cum laude) and Ph.D. degrees in computer science from the University of Catania, Catania, Italy, in 1999 and 2003, respectively. He is currently Full Professor at the University of Catania, Italy. His research interests include digital restoration, artifacts removal, filtering, super resolution, interpolation, and texture analysis.
He is the coordinator of the "Archeomatica Project" (www.archeomatica.unict.it).
Teaching:
IEM Interazione e Multimedia (6 CFU);
He is a Reviewer for several leading international conferences and journals:
• IEEE Transactions on Image Processing (TIP);
• IEEE Transaction on Multimedia;
• IEEE Transactions on Circuits and Systems II (TCAS-II);
• IEEE Signal Processing Letters (SPL);
• Elsevier Image and Vision Computing Journal (IVC);
• SPIE Journal of Electronic Imaging (JEI);
• SPIE Journal of Optical Engineering (OE);
• IEE Proceedings on Vision, Image and Signal Processing;
• IET Electronic Letters;
• ICIP 2004 – 2005 – 2006 – 2007 - 2008: IEEE International Conference on Image Processing;
• EG_IT 2006: EUROGRAPHICS Italian Chapter 2006:
• EUSIPCO 2008.
Member of:
• IEEE (The Institute of Electrical and Electronics Engineers);
• AIAr Associazione Italiana Archeometria;
• GRIN Italia;
• GIRPR Gruppo Italiano Ricercatori in Pattern Recognition;
• SIMAI;
• Centro di Archeologia Cretese
Address: Dipartimento di Matematica e Informatica
University of Catania
Viale A. Doria 6
95125 Catania, Italy
He is the coordinator of the "Archeomatica Project" (www.archeomatica.unict.it).
Teaching:
IEM Interazione e Multimedia (6 CFU);
He is a Reviewer for several leading international conferences and journals:
• IEEE Transactions on Image Processing (TIP);
• IEEE Transaction on Multimedia;
• IEEE Transactions on Circuits and Systems II (TCAS-II);
• IEEE Signal Processing Letters (SPL);
• Elsevier Image and Vision Computing Journal (IVC);
• SPIE Journal of Electronic Imaging (JEI);
• SPIE Journal of Optical Engineering (OE);
• IEE Proceedings on Vision, Image and Signal Processing;
• IET Electronic Letters;
• ICIP 2004 – 2005 – 2006 – 2007 - 2008: IEEE International Conference on Image Processing;
• EG_IT 2006: EUROGRAPHICS Italian Chapter 2006:
• EUSIPCO 2008.
Member of:
• IEEE (The Institute of Electrical and Electronics Engineers);
• AIAr Associazione Italiana Archeometria;
• GRIN Italia;
• GIRPR Gruppo Italiano Ricercatori in Pattern Recognition;
• SIMAI;
• Centro di Archeologia Cretese
Address: Dipartimento di Matematica e Informatica
University of Catania
Viale A. Doria 6
95125 Catania, Italy
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Papers by Filippo Stanco
soils through the application of Munsell system. This method widely used in other fields,
like geology and anthropology, is based on the subjective matching between the real color
and its standardized version on Munsell Charts. It is common knowledge that
environmental light conditions, cultural background, color sensibility and education can
condition the result misleading the identification. However few statistical studies quantify
this phenomenon. The interest toward color specification in different fields gave rise to a
multidisciplinary articulate study that involves archaeologists, computer scientists and
physicists to set the target of a unique reference system. In this paper a semi-automatic
method of color detection on selected regions of digital images of ancient pottery is
presented. This tool, whose encouraging experimental results are widely discussed in this
contribute, is aimed to prevent eventual subjective errors during color identification and to
speed up the process of identification itself. The starting point of the experiment was to
take digital pictures of group of potsherds - whose surface color was identified by a group
of archaeologists taken as statistic sample of interviewees - together with the Gretag-
Macbeth Color Checker Chart, used as a marker. Since chromatic values of Macbeth Chart
colors are well known and have been objectively established, the digital image is processed
with color balancing techniques aimed to restore the original value of patch, in order to
eliminate distortions coming from light sources. After the color correction, once regions of
interest are selected via ‘point and click’ for the identification of surface color, the
algorithm converts RGB values in Munsell data. The results obtained and percentages of
successful matching with Munsell color identification coming from the statistical analysis seem to open new perspectives for the development of a full automatic system with a Graphical User Interface (GUI) aimed to facilitate significantly some aspects of the archaeologist’s work. Furthermore, for verifying the reliability of our tool, the chromatic coordinates evaluated for the pottery sherds were compared with the measured data obtained by the spectrophotometric method using the CIELAB space to evaluate the differences.
of Catania University. This archive includes rare images of the excavation activities of the Department in Sicily and Greece. Several of the plates are damaged and
fractured and require virtual realignment and restoration. We adapted to this case a restoration algorithm based on the use of image processing techniques. The
algorithm enhance the quality of scanned images, and subsequently performs a rigid registration and realignment of the fragments. A final application of inpainting
techniques fills the gaps.
archaeological evidence and the dissemination of scientific results to the public. Among all the solutions available, the use of 3D models is particularly relevant for the reconstruction of poorly preserved sites and monuments destroyed by natural causes or
human actions.These digital replicas are, at the same time, a virtual environment that can be used as a tool for the interpretative hypotheses of archaeologists and as an effective medium for a visual description of the cultural heritage. In this paper, the innovative methodology and aims and outcomes of a virtual reconstruction of the Bor푔̇ in-Nadur megalithic temple, carried out by Archeomatica Project of the University of Catania, are offered as a case study for a virtual archaeology of prehistoric Malta."
commercial framework for mobile devices, ARToolworks, has been used for developing Augmented Reality applications.
Using a pattern that is recognized by the device, the virtual model is shown as it is in the real world. The novelty of this work is that graduate students in virtual archaeology and non computer programmers such as museum staff, could benefit of this work and implement such a system.
a scanner or with a digital camera, after a manual recomposing of the sherds, leaves badly visible gaps and fracture lines. This happens because of an uncorrect alignment of the fragments or for the lost of the emulsion. To solve this problem and to introduce
an ecient process to restore a large amount of fractured glass plates, we developed an automatic method for the virtual restoration of this large dataset based on the use of
image processing techniques. The paper describes the proposed processing pipeline and discusses the results obtained insofar.
roman statuary in the Syracuse Museum. The recent restoration of the Castello Maniace has been celebrated in 2008 with an exhibition of archaeological finds
obtained in the various excavations of the castle. The statue of Asclepius, which had for centuries been a part of the architecture there, should have been the most
significant piece on display. However, its large size and frailty made such a temporary move inadvisable, and it was decided that a plaster cast should be made and exhibited instead. A team of archaeologists and information technicians from the Archeomatica Project of Catania University were able to contribute to this task by creating a 3D model of the statue through the use of laser scanning techniques.