A COMPARISON BETWEEN 3D RECONSTRUCTION USING NERF NEURAL NETWORKS AND MVS ALGORITHMS ON CULTURAL HERITAGE IMAGES

In this research, an innovative comparison between 3D reconstructions obtained by means of Artificial Intelligence, in particular NeRF Neural Networks, and by Structure-from-Motion (SfM) and Multi-View-Stereo (MVS) open-source algorithms is proposed. The 3D reconstruction comparison is performed on two test cases, one of cultural interest, one useful only for technical discussion. It is known that the approaches are traditionally used with different objectives and in different contexts but they can however also be used with similar purpose, i.e., 3D reconstruction. In particular, we were interested in evaluating how NeRF reconstructions are accurate from a metric point of view and how the models obtained from the application of NeRF differ from the model obtained from the classical photogrammetry. By analyzing the results in the considered test cases, we show how NeRF networks, although computationally demanding, can be an interesting alternative or complementary methodology, especially in cases where classical photogrammetric techniques do not allow satisfactory results to be achieved. It is therefore suggested to expand efforts in this direction by exploiting, for example, the numerous improvement proposals of the original NeRF network

A COMPARISON BETWEEN 3D RECONSTRUCTION USING NERF NEURAL NETWORKS AND MVS ALGORITHMS ON CULTURAL HERITAGE IMAGES

In this research, an innovative comparison between 3D reconstructions obtained by means of Artificial Intelligence, in particular NeRF Neural Networks, and by Structure-from-Motion (SfM) and Multi-View-Stereo (MVS) open-source algorithms is proposed. The 3D reconstruction comparison is performed on two test cases, one of cultural interest, one useful only for technical discussion. It is known that the approaches are traditionally used with different objectives and in different contexts but they can however also be used with similar purpose, i.e., 3D reconstruction. In particular, we were interested in evaluating how NeRF reconstructions are accurate from a metric point of view and how the models obtained from the application of NeRF differ from the model obtained from the classical photogrammetry. By analyzing the results in the considered test cases, we show how NeRF networks, although computationally demanding, can be an interesting alternative or complementary methodology, especially in cases where classical photogrammetric techniques do not allow satisfactory results to be achieved. It is therefore suggested to expand efforts in this direction by exploiting, for example, the numerous improvement proposals of the original NeRF network

ARCHITECTURAL HERITAGE RECOGNITION IN HISTORICAL FILM FOOTAGE USING NEURAL NETWORKS

Researching historical archives for material suitable for photogrammetry is essential for the documentation and 3D reconstruction of Cultural Heritage, especially when this heritage has been lost or transformed over time. This research presents an innovative workflow which combines the photogrammetric procedure with Machine Learning for the processing of historical film footage. A Neural Network is trained to automatically detect frames in which architectural heritage appears. These frames are subsequently processed using photogrammetry and finally the resulting model is assessed for metric quality. This paper proposes best practises in training and validation on a Cultural Heritage asset. The algorithm was tested through a case study of the Tour Saint Jacques in Paris for which an entirely new dataset was created. The findings are encouraging both in terms of saving human effort and of improvement of the photogrammetric survey pipeline. This new tool can help researchers to better manage and organize historical information

The 2004–2006 uplift episode at Campi Flegrei caldera (Italy): Constraints from SBAS-DInSAR ENVISAT data and Bayesian source inference

We investigate the 2004–2006 uplift phase of Campi Flegrei caldera (Italy) by exploiting the archive of ascending and descending ENVISAT SAR data acquired from November 2002 to November 2006. The SBAS-DInSAR technique is applied to generate displacement mean velocity maps and time series. An appropriate post-processing step is subsequently applied to map the areas whose temporal deformation behavior is correlated with that of the maximum uplift zone. Our results show that the deformation also extends outside the volcanological limits of the Neapolitan Yellow Tuff caldera, without significant discontinuities. The DInSAR data are inverted by considering a finite spheroid and an isotropic pointsource. The inversion results suggest that the new uplift is characterized by a source location similar to the previous small uplift event of 2000 and to the long term subsidence of the 1990’s. In particular, the source is located at a depth of about 3.2 km and very close to the city of Pozzuoli (about 800 m offshore, to the SW); the associated volume variation is about 1.1 106 m3/year.PublishedL073081.10. TTC - TelerilevamentoJCR Journalreserve

The Materiality of Absence:Organizing and the case of the incomplete cathedral

This study explores the role of absences in making organizing possible. By engaging with Lefebvre’s spatial triad as the interconnections between conceived (planned), perceived (experienced through practice) and lived (felt and imagined) spaces, we challenge the so-called metaphysics of presence in organization studies. We draw on the insights offered by the project of construction of Siena Cathedral during the period 1259– 1357 and we examine how it provided a space for the actors involved to explore their different (civic, architectural and religious) intentions. We show that, as the contested conceived spaces of the cathedral were connected to architectural practices, religious powers and civic symbols, they revealed the impossibility for these intentions to be fully represented. It was this impossibility that provoked an ongoing search for solutions and guaranteed a combination of dynamism and persistence of both the material architecture of the cathedral and the project of construction. The case of Siena Cathedral therefore highlights the role of absence in producing organizing effects not because absence eventually takes form but because of the impossibility to fully represent it

The impact of social networks on knowledge transfer in long-term care facilities: Protocol for a study

<p>Abstract</p> <p>Background</p> <p>Social networks are theorized as significant influences in the innovation adoption and behavior change processes. Our understanding of how social networks operate within healthcare settings is limited. As a result, our ability to design optimal interventions that employ social networks as a method of fostering planned behavior change is also limited. Through this proposed project, we expect to contribute new knowledge about factors influencing uptake of knowledge translation interventions.</p> <p>Objectives</p> <p>Our specific aims include: To collect social network data among staff in two long-term care (LTC) facilities; to characterize social networks in these units; and to describe how social networks influence uptake and use of feedback reports.</p> <p>Methods and design</p> <p>In this prospective study, we will collect data on social networks in nursing units in two LTC facilities, and use social network analysis techniques to characterize and describe the networks. These data will be combined with data from a funded project to explore the impact of social networks on uptake and use of feedback reports. In this parent study, feedback reports using standardized resident assessment data are distributed on a monthly basis. Surveys are administered to assess report uptake. In the proposed project, we will collect data on social networks, analyzing the data using graphical and quantitative techniques. We will combine the social network data with survey data to assess the influence of social networks on uptake of feedback reports.</p> <p>Discussion</p> <p>This study will contribute to understanding mechanisms for knowledge sharing among staff on units to permit more efficient and effective intervention design. A growing number of studies in the social network literature suggest that social networks can be studied not only as influences on knowledge translation, but also as possible mechanisms for fostering knowledge translation. This study will contribute to building theory to design such interventions.</p

The Effect of Service on Research Performance: A Study on Italian Academics in Management

Academics all over the world are feeling the increasing pressure to attain satisfactory research performance. Since research is not the only activity required of academics, though, the debate on how it may be coupled with other knowledge transfer activities like teaching, patenting, and dissemination has been captivating scholars interested in higher education. Literature is surprisingly silent about the interplay between research performance and other roles and tasks that faculty are expected to carry out, namely academic citizenship, intended as the service that they provide to their institution, to the scientific community, and to the larger society. Through a negative binomial regression conducted on 692 Italian academics in management, this paper investigates both the direct and moderating effect exerted by academic citizenship on the relationship between research performance in two subsequent evaluation exercises, thus advancing our knowledge of the relationship between research and service. Findings show that institutional service acts as a pure moderator, discipline-based service is a quasi-moderator, while public service exerts only a direct negative effect on research performance. In light of the emergent interplay between research and service, the necessity to boost reflection on academic citizenship is discussed and suggestions for its acknowledgement and advancement are formulated

New Labour?new renaissance

This paper explores the term ?urban renaissance? in relation to the historiography of the Renaissance of the 15th and 16th centuries in Italy. It examines the place of the Renaissance in cultural history and considers how it has, since its inception, been utilised by writers to reflect on the present. The paper situates the urban renaissance within the context of New Labour rhetoric at the time of the Millennium. It argues that the idea of renaissance can, in this instance, be connected to a kind of millenarianism that was reflected in public rhetoric regarding the city and in a number of building projects

DOiT: a graphic tool for the inversion of deformation data

DOIT (Data Optimization Integrated Tool) is an ongoing project to develop a tool to perform inversions of deformation data by global optimization running on a commodity supercomputer. Its main task is to facilitate the user about the interpretation of deformation data (GPS, InSAR, leveling, etc.) due to different geophysical sources such as seismic dislocation or volcanic inflation. We have developed a graphic interface assisting the user during the required steps to set-up and solve the inversion problem: data importation, model and parameters space definition, job submission, monitoring and results visualization. The user can import data in some predefined formats or define his own custom format. The forward models embedded in the tool are analytical descriptions of simple sources like isotropic point-source, finite spheroid, or general dislocation. A further feature is the possibility to use as forward model arrays of precomputed solutions based on finite element or other numerical techniques so that it is possible to take into account some realistic features (e.g. topography). The user has the capability to choose from few direct search methods such as Monte Carlo, simulated annealing or the more efficient Neighbourhood Algorithm. In this last case it is possible to perform a bayesian appraisal of the sampled solutions. The main paradigm of the tool is a client-server structure. The client machine submits jobs and retrieves information about the state of the running task; the graphical interface takes care also to link the computing front-end and the client machine itself. Since all the search algorithms are implemented using the MPI library, users can take advantage of parallel runs on cluster machines without knowing details either of MPI codes or the use of a batch queue in a distributed computing environment. The tool is a C++ application running on a dedicated Linux computer and is written using QT4 graphic libraries (the same libraries of the KDE window manager) which offer powerful options. An important feature of the DOIT tool is the communication with clients. When the client, (a piece of software available for almost any OS) asks for the user interface service, DOIT exports its graphical environment to a session on the client itself, using the X-protocol with high compression technology. This limits the needs of a fast connection between the client and the server, maintaining a high interactivity at the same time. Furthermore, the protocol is encapsulated over SSL, facilitating a safe communication with the server. DOIT has an open structure allowing to easily modify the application, adding forward models or implementing new inversion algorithm. We present a test of the DOIT capabilities, running inversions on an IBM P575 with 168 Power5 processors installed at CASPUR.UnpublishedWienope