HBIM and augmented information: towards a wider user community of image and range-based reconstructions

This paper describes a procedure for the generation of a detailed HBIM which is then turned into a model for mobile apps based on augmented and virtual reality. Starting from laser point clouds, photogrammetric data and additional information, a geometric reconstruction with a high level of detail can be carried out by considering the basic requirements of BIM projects (parametric modelling, object relations, attributes). The work aims at demonstrating that a complex HBIM can be managed in portable devices to extract useful information not only for expert operators, but also towards a wider user community interested in cultural tourism

AUTOMATIC FAÇADE SEGMENTATION FOR THERMAL RETROFIT

Abstract. In this paper we present an automated method to derive highly detailed 3D vector models of modern building facades from terrestrial laser scanning data. The developed procedure can be divided into two main steps: firstly the main elements constituting the facade are identified by means of a segmentation process, then the 3D vector model is generated including some priors on architectural scenes. The identification of main facade elements is based on random sampling and detection of planar elements including topology information in the process to reduce under- and over-segmentation problems. Finally, the prevalence of straight lines and orthogonal intersections in the vector model generation phase is exploited to set additional constraints to enforce automated modeling. Contemporary a further classification is performed, enriching the data with semantics by means of a classification tree. The main application field for these vector models is the design of external insulation thermal retrofit. In particular, in this paper we present a possible application for energy efficiency evaluation of buildings by mean of Infrared Thermography data overlaid to the facade model

The Church of S. Maria Delle Palate in Tusa (Messina, Italy): Digitization and Diagnostics for a New Model of Enjoyment

Cultural places represent the tangible part of the identity and historical heritage of a civilization as well as an extraordinary driving force for the economic development of a country. Within its huge asset, Italy counts a wide number of archaeological sites and monuments which, despite their cultural value, are totally cut off from the most important cultural routes. This paper aims to demonstrate how specific actions of digitization can contribute to valorize (restoring a cultural value) ‘marginal’ landmarks, promoting their knowledge and inclusion. The case study described is represented by the Church of “Santa Maria delle Palate”, located inside the well-known Archaeological Park of Halaesa Arconidea (Tusa, ME). The church, built in 1551 and subject to several renovations throughout the centuries, has been investigated as part of an interdisciplinary training and skill transfer project carried out by a CNR-IPCF research team. During the activities, the group of trainees approached a multi-analytic method for the study of many Sicilian places using different techniques such as laser scanning, photogrammetry, thermography and spectroscopy and collecting a large amount of information and data. In 2019, the building in question was the object of a complete architectural survey in order to obtain an accurate digital replica; moreover, the wall painting representing St. Francis, preserved in the southern nave, was investigated through non-invasive investigations (IR-imaging, XRF and Raman spectrometry) with the intention of collecting information about its state of preservation and nature of pigments used and help the restoration work, which would have been carried out in the following months. The result of the work is a combined “digital archive” useful not only for the purposes of conservation, monitoring and dissemination, but as a container of information enjoyable at different levels of depth. In addition to the scientific outcomes achieved for the study of the painting, relevant from the historical and artistic point of view, we must underline the importance of the work for the implementation of a web-based platform where expert and inexpert users can virtually access the church virtual tour and search for specialized contents (e.g., measures, analyzes results). Media such as this are finally demonstrated to be able to promote the inclusion (e.g., for people unable to reach the place or with reducing mobility) and accessibility to cultural places during ordinary (maintenance, closure) or extraordinary events (pandemic)

Supercomputing for Digitized 3D Models of Cultural Heritage

Three-dimensional digital data capture techniques such as laser scanning hold great promise for preserving and studying cultural heritage objects. However, the immense size of many scanned datasets and the computationally demanding nature of geometric processing algorithms can overwhelm traditional desktop computing environments. To overcome this bottleneck, we will investigate the application of high performance supercomputing resources for processing and analyzing scanned 3D models of cultural heritage. We will develop new algorithms and software to utilize supercomputers for humanities scholarship, including methods for converting raw scan point cloud data to finished 3D surface models, and for automated re-assembly of fragmented archaeological artifacts. We will begin to apply these techniques to large raw scan datasets that we have previously acquired, including notable artistic statuary, important archaeological artifacts, and historical architectural sites

From aerial survey to representation and visualization: the Temple G of Selinunte

The paper reports the outputs of a research work focused on the segmentation of meshes generated from aerial photogrammetric survey, aiming at the implementation of a database integrated in a web-based Information System developed with 3D-Hop technology, that uses models as the access point to information data. Segmentation is a relevant topic in cultural heritage documentation, since it is the a pre-requisite for the development of systems that connect information data to 3D models. The chosen case study is the Doric Temple G of Selinunte, an archaeological site in southern Sicily. Temple G, one of the biggest Doric Temples of Magna Graecia, it is today a huge heap of ruins, probably due to one or more past earthquakes; though centuries have passed, ruined blocks often show their original shape. The proposed segmentation workflow is based on the identification of the shape and position of The NURBS models have supported the virtual reconstruction of some columns of the southern front of the Temple; the reconstruction model has finally been used for the development of a video that uses motion tracking techniques for the visualization of the columns in the real scene in a footage taken with a drone