During recent years, the synergy of virtual reality (VR) and photogrammetry has become an increasingly prevalent way to visualize, represent, preserve and disseminate cultural heritage objects. Photogrammetry offers a reliable method for a faithful and accurate image-based modeling of real-world objects, while VR applications provide not only visualization, but also an immersive and interactive experience of the photogrammetrically reconstructed cultural heritage. This research aims to create and apply the method for providing VR experience in the context of cultural heritage by developing a workflow for the VR applications based on photogrammetric models. The proposed workflow was applied on the iconostasis of the Serbian Orthodox Cathedral church of Saint Nicholas in Sremski Karlovci (Serbia). The presented method is based on the following main steps: generation ofan accurate 3D reconstruction of the iconostasisusing photogrammetry, the 3D model optimization, retopology, control and analysis and the process of creating the VR experience using a game-engine. The final result is an interactive walk through the church, which provides the user with an opportunity to visualize the iconostasis and its individual icons through different perspectives and multiple levels of detail, which is not otherwise possible when observing the church interior.

Automatic segmentation of particular heart parts plays an important role in recognition tasks, which is utilized for diagnosis and treatment. One particularly important application is segmentation of epicardial fat (surrounds the heart), which is shown by various studies to indicate risk level for developing various cardiovascular diseases as well as to predict progression of certain diseases. Quantification of epicardial fat from CT images requires advance image segmentation methods. The problem of the state-of-the-art methods for epicardial fat segmentation is their high dependency on user interaction, resulting in low reproducibility of studies and time-consuming analysis. We propose in this paper a novel semiautomatic approach for segmentation and quantification of epicardial fat from 3D CT images. Our method is a semisupervised slice-by-slice segmentation approach based on local adaptive morphology and fuzzy c-means clustering. Additionally, we use a geometric ellipse prior to filter out undesired parts of the target cluster. The validation of the proposed methodology shows good correspondence between the segmentation results and the manual segmentation performed by physicians.

In recent years, digitization of cultural heritage objects, for the purpose of creating virtual museums, is becoming increasingly popular. Moreover, cultural institutions use modern digitization methods to create three-dimensional (3D) models of objects of historical significance to form digital libraries and archives. This research aims to suggest a method for protecting these 3D models from abuse while making them available on the Internet. The proposed method was applied to a sculpture, an object of cultural heritage. It is based on the digitization of the sculpture altered by adding local clay details proposed by the sculptor and on sharing on the Internet a 3D model obtained by digitizing the sculpture with a built-in error. The clay details embedded in the sculpture are asymmetrical and discreet to be unnoticeable to an average observer. The original sculpture was also digitized and its 3D model created. The obtained 3D models were compared and the geometry deviation was measured to determine that the embedded error was invisible to an average observer and that the watermark can be extracted. The proposed method simultaneously protects the digitized image of the artwork while preserving its visual experience. Other methods cannot guarantee this.

The System-of-Systems research area, with its opened challenging approach to engineering practice transformation, has a significant impact to the closely related problem domains cooperation. The Architectural Design, Urban Planning, and Construction Engineering Domains, even when treated separately, are extremely demanding targets for sophisticated software tools development. While managing the complex urban blocks interactions in the contemporary city configuration, it is particularly important that these three domains cooperate closely. The application of a smart house paradigm is dominantly focused on the internal facility parameters monitoring and control. For the subset of these internal parameters, like for example: daylight illumination; privacy; and natural ventilation, the facility (building) environment impacts analysis is unavoidable. In this article, based on the System-of-Systems paradigm, we present the model of a smart house environment impact analysis framework suitable for Model Driven Simulations of Building (house) Attributes. The proposed framework architecture is designed to support the cooperation/collaboration of software tools. The verification has shown that it may be effectively used for the impact analysis of arbitrary external (urban block specific) attributes on their internal state and the behavior (specific for a single building).

This paper presents a case of filming a bridge in Novi Sad during its construction for the purpose of inspection of construction works carried out by the Spanish - Italian consortium AZVI. Twice a month the photographs and high-resolution films shot by a drone were sent to AZVI. In this way, the contractors had up-to-date information on the progress of the works without the need for a permanent presence of the company's engineers. Drone shooting has enabled high-resolution images and movies which allow quality remote inspection, accompanied, naturally, with occasional arrivals at the site.