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2014 Journal article Restricted
Underwater manmade and archaeological object detection in optical and acoustic data.
Moroni D., Pascali M. A., Reggiannini M., Salvetti O.
We propose a method designed for processing acoustic and optical data producing information about the presence of man-made and archaeological objects lying on the seabed. This method statistically highlights this type of artifacts among surrounding environment, weighting properly the persistence of meaningful curves in a video sequence, or in a sonogram. To this aim, we made use of the ELSD algorithm, a parameterless method inspired by Gestalt principles which has proven to provide promising results.Source: Pattern recognition and image analysis 24 (2014): 310–317. doi:10.1134/S1054661814020138
DOI: 10.1134/s1054661814020138
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See at: Pattern Recognition and Image Analysis Restricted | link.springer.com Restricted | CNR ExploRA


2014 Conference article Restricted
Elaborazione di dati acustici per archeologia subacquea
Reggiannini M., Pascali M. A., Bertini G., Magrini M., Moroni D., Salvetti O.
The marine environment and the seafloor present very challenging conditions for a theoretical and experimental setting. Our basic activity is the full understanding of underwater scenes acquired by AUVs through the integration of acoustic and optical data. In our work we used a sidescan sonar and an optic device (e.g. a stereoscopic vision system composed of two analog underwater cameras). Sonar and vision devices operate on different physical principles, provide different types of information, and they generally run at best in different conditions. The framework is Arrows, an FP7 project of EU, intended to develop technologies and methods supporting underwater archaeology.Source: AIA 2014 41° Convegno Nazionale Associazione Italiana di Acustica, pp. 36–38, Pisa, Italia, 17-19 Giugno 2014

See at: www.acustica-aia.it Restricted | CNR ExploRA


2014 Report Unknown
SEMEOTICONS - Initial specification of system requirements and functionalities
Colantonio S., Coppini G., Giorgi D., Chiarugi F., D'Acunto M., Gimeno M., Giannakakis G., Larsson M., Louloudakis S., Martinelli M., Matuszewski B. J., Nicoletta A., Pagliei E., Pascali M. A., Pediaditis M., Randeberg L., Stromberg T., Vitali I.
This deliverable is the first report of WP2, "Hardware and software platform design". It gives the definition and initial specification of the system requirements for the development of the Wize Mirror, a multisensory platform, in the form of a mirror, able to detect and monitor over time facial signs correlated with cardio-metabolic risk.Source: Project report, SEMEOTICONS, Deliverable D2.1.1, 2014
Project(s): SEMEOTICONS via OpenAIRE

See at: CNR ExploRA


2014 Conference article Restricted
A wize mirror for lifestyle improvement
Martinelli M., Benassi A., Colantonio S., Giorgi D., Magrini M., Pascali M. A., Righi M., Salvetti O.
This paper discusses the problem of fostering lifestyle changes towards healthier habits via tailored user guidance. We present a novel multisensory device, the Wize Mirror, which will be able to detect semeiotic face signs related to cardio-metabolic risk, and encourage users to reduce their risk by improving their lifestyle. Offering a proper user guidance requires solving three main issues: user profiling, definition of a wellness index based on biophysical data, and personalized guidance by means of coaching and supportive messages. For each of these issues, the solutions proposed in the EU FP7 Project SEMEOTICONS are presented, highlighting their advantages with respect to the state-of-the-art.Source: InMed 14 - Ebook: Second KES International Conference on Innovation in Medicine and Healthcare, pp. 390–399, San Sebastian, Spain, 9-11 July 2014
DOI: 10.3233/978-1-61499-474-9-390
Project(s): SEMEOTICONS via OpenAIRE
Metrics:


See at: www.ebooks.iospress.nl Restricted | CNR ExploRA


2014 Contribution to conference Unknown
An interactive mixed reality environment for virtual exploration of archaeological sites
Magrini M., Moroni D., Pascali M. A., Pieri G., Reggiannini M., Tampucci M., Salvetti O.
In the framework of FP7 project ARROWS and THESAURUS project financed by Regione Toscana in the framework of the "FAS" program 2007-2013, we present the developed 3D Reconstruction Systems which play a leading role for what concerns the dissemination of data towards technical experts and authorized or generic users, involved in the archaeological research activity. The data fruition system is based on navigation procedures that are implemented in the majority of the currently available simulated environments. It provides the informative content that was captured during search missions, previously processed in order to become easily usable. The activities performed deal with the following three steps: i) processing of the raw data captured during the missions, ii) reconstruction and modelling of the point clouds resulting from the raw data processing and finally, iii) the integration of the output models into a novel virtual environment, created ad hoc in the project framework, based on the latest available 3D rendering engines.Source: Sim & Sea - The Simulation and the Sea, Genova, Italia, 9 June 2014
Project(s): ARROWS via OpenAIRE

See at: CNR ExploRA


2014 Report Unknown
ARROWS - D 4.2 Real-time algorithms for on-board attentive sensory data analysis: Operating algorithms and report about their implementation and performances.
Reggiannini M., Pascali M. A., Moroni D., Tampucci M., Magrini M., Salvetti O.
The document describes the work carried out from the 4th to the 21st month, regarding the design and implementation of algorithms for attentive data analysis directly on-board of the ARROWS vehicles. This deliverable is mostly focused about on-board software to be executed during the missions. Both visual and acoustic data acquired with the search and inspection AUVs and with biomimetic U-CAT robots payload (see D4.1 - Report about functional specifications of the data acquisition and integration system) will be analyzed directly on the vehicle. Outputs obtained from the algorithms described hereafter will be gathered and processed by the High Level Control (HLC) module to perform a context driven AUV navigation.Source: Project report, ARROWS, Deliverable D 4.2, 2014
Project(s): ARROWS via OpenAIRE

See at: CNR ExploRA


2014 Report Unknown
ARROWS - Development of an interactive mixed reality environment for virtual exploration of archaeological sites - First release
Reggiannini M., Tampucci M., Magrini M., Moroni D., Pascali M. A., Righi M., Giorgi D.
This document describes a software prototype implementing an immersive virtual environment for the fruition of data captured in ARROWS experimental campaigns. This is the result of the design and development activity related to Work Package 5 "Tools for fruition of archaeological items and sites". The report includes the criteria to be followed during the phases of the project as concerns the methods and the tools aimed at developing a proper platform for fruition purpose. The main target of the activity described in this document is to provide the generic user with the chance of replicating the underwater survey experience and the discovery of sunken archaeological sites. Recreating a scene involves the merging of different technologies and technical skills: from the processing of raw experimental data to produce a 3D point cloud, passing through the manipulation of the 3D meshes to obtain a model simulating to the best the real 3D object properties, ending with the composition of a hybrid scenery containing both the true captured data fused together with simulated data. The latter stage requires the operator to be strongly skilled in properly processing the often corrupted data coming from the experimental campaigns, but also to be endowed with an "artistic" quality, necessary to develop a fine and realistic reproduction of the real environment. The first draft of the simulated environment described in section 4, has been implemented by employing tools currently made available by the graphics open source community (Irrlicht). We aim at updating the simulated scene by exploiting advanced software (Unity, Unreal engine), in order to refine the models and add informative content to the scene.Source: Project report, ARROWS, Deliverable D5.2, 2014
Project(s): ARROWS via OpenAIRE

See at: CNR ExploRA