PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Reggiannini M. Understanding underwater archaeological scenarios by optical and acoustic sensing tools. In: IWCIM 2016 - International Workshop on Computational Intelligence for Multimedia Understanding (Reggio Calabria, Italy, 27-28 October 2016). Proceedings, article n. 7801187. IEEE, 2016.
 
 
Abstract
(English)
Underwater seafloors represent a huge archive of manmade artefacts, a cultural heritage whose abandon process started since man has been able to travel by the waters. In order to put this heritage under safeguard and preservation archaeologists require and request for technological support provided by the scientific community. Automated procedures tailored for the purposes of manmade object recognition in the underwater scenario represent the main topic discussed in this work. In particular the authors propose a set of procedures that enables to extract meaningful insights about the inspected environment and that can be exploited to assign a label of interest, in terms of cultural significance, to the surveyed areas. Furthermore the authors introduce a sketch of a framework according to which the identification of interesting areas on the seafloor may be implemented in terms of a Bayes decision system.
URL: http://ieeexplore.ieee.org/document/7801187/
DOI: 10.1109/IWCIM.2016.7801187
Subject Underwater Robotics
Underwater Cultural Heritage
Image-based modelling and 3D reconstruction
Multi-sensor data analysis
Archaeological Object Recognition
I.2.10 ARTIFICIAL INTELLIGENCE. Vision and Scene Understanding
I.2.9 ARTIFICIAL INTELLIGENCE. Robotics
I.4.7 IMAGE PROCESSING AND COMPUTER VISION. Feature measurement
I.4.8 IMAGE PROCESSING AND COMPUTER VISION. Scene Analysis
68T45 Machine vision and scene understanding


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