New approaches of the Next-gen collaborative design platform

The architecture design process always changes because the software always updates with new tools and the development - innovation is in the first line of progress. The human-machine cooperation has become commonplace through Computer-Aided Design tools, but a more improved collaboration appears possible only through an endeavor into a kind of artificial design intelligence and Augmented Reality. According to all the above, the research shown in this paper the core ideas - identifying design specifications - of a next-generation collaborative design platform. The direct coupling of introducing multi-industry systems - tools, 3D databases, AEC, and Open-BIM technologies opens up totally new ways of approaching architectural design problems resulting in a new flexible modeling workflow with real-time visualization. Finally, this critical examination research makes an original contribution to changing 'attitude' towards the 3d modeling of architectural design thinking. A collaborative design platform creating a more efficient and versatile architecture.

Boosting Face Recognition under Drastic Views Using a Pose AutoAugment Manner

Face recognition under drastic pose drops rapidly due to the limited samples during the model training. In this paper, we propose a pose-autoaugment face recognition framework (PAFR) based on the training of a Convolutional Neural Network (CNN) with multi-view face augmentation. The proposed framework consists of three parts: face augmentation, CNN training, and face matching. The face augmentation part is composed of pose autoaugment and background appending for increasing the pose variations of each subject. In the second part, we train a CNN model with the generated facial images to enhance the pose-invariant feature extraction. In the third part, we concatenate the feature vectors of each face and its horizontally flipped face from the trained CNN model to obtain a robust feature. The correlation score between the two faces is computed by the cosine similarity of their robust features. Comparable experiments are demonstrated on Bosphorus and CASIA-3D databases.

Le mura di Cartagena de Indias tra sperimentazione metodologica e protocolli operativi. Strumentazioni digitali a confronto per lo studio del sistema difensivo antonelliano

The walls of Cartagena de Indias through methodological experimentation and survey systems protocols. Digital tools comparison for the study of the Antonelli’s defense systemCartagena de Indias, one of the main Spanish commercial ports in the Caribbean Sea, was strategically built on a system of islands and peninsulas that formed a lacustrine system along the coast of Tierra Firme, known today as Colombia. For several centuries, Cartagena fortifications have been at the fore-front of Spanish military technologies. This site became the scene of action of the main military engineers at the service of the Spanish crown. In 1586 Battista Antonelli received from King Philipe II the task to design this monumental defensive system. The first project for the Cartagena wall enclosure (1595) is due to Battista and it was continued and modified by his nephew Cristoforo Roda. Nowadays, Antonelli walls still fit into the urban fabric of the city and delineate the perimeter of the historic city. The research project follows the previous research experiments conducted by the Lab DAda-LAB of the University of Pavia in the territory of Panama for the study of the Antonelli fortifications systems of Portobello and San Lorenzo del Chagres. It concerned an extensive action aimed at the documentation and to the study of the entire fortified system of the historic center of Cartagena. The perimeter walls of the old city and the fort of San Felipe de Barajas have been documented through the use of a mobile laser scanner that uses SLAM technology, evaluating the most effective performed strategies for fast survey activities. In parallel, a more specific action was conducted on the portion of the Baluarte of Santa Catalina walls, where it was possible to give a comparison between different methods and instruments, in order to verify the reliability of the 3D databases. Analysis protocols have been developed for the documentation and study of the defensive system. The paper will highlight the construction technologies that qualify the fortresses of Cartagena de Indias and the results obtained by the comparison between different data acquisition technologies to evaluate the quality of the models for the development of documentation strategies for heritage enhancement and protection.

DOCUMENTING THE CULTURAL HERITAGE ROUTES. THE CREATION OF INFORMATIVE MODELS OF HISTORICAL RUSSIAN CHURCHES ON UPPER KAMA REGION

<p><strong>Abstract.</strong> The present paper illustrates the documentation activities developed since 2013 on Upper Kama territories, preliminary to an extensive and joint research action within the European project “PROMETHEUS” (2019&amp;ndash;2021), which aims to produce digitized databases and models for the management of the main religious monuments present on this Russian area, nowadays endangered by risk of conservation. The project is funded by the EU program Horizon 2020 &amp;ndash; R&amp;I &amp;ndash; RISE &amp;ndash; Research &amp; Innovation Staff Exchange Marie Skłodowska-Curie, and it is aimed at the definition of inter-sectoral collaboration protocols for the development and promotion of a new methodology for the development of reliable 3D databases and models of monumental complexes in Upper Kama region. The project, that involves the collaboration between three Universities (University of Pavia, Italy, Polytechnic University of Valencia, Spain, Perm National Research Polytechnic University, Russia) and two enterprises (EBIME, Spain, SISMA, Italy), aims to promote actions to develop interdisciplinary activities for the documentation, management and production of collaborative H-BIM models, for the start-up of monitoring and development activities on this specific Cultural Heritage. Researches and initiatives conducted in the previous years on Upper Kama territory highlight potentialities and opportunities of digital survey to define a basis of knowledge that is both scientific and technical, for future interventions on endangered architectural heritage, where academies, companies and administrations promote actions to develop interdisciplinary documentation activities through collaborative management H-BIM models and an intervention protocol on Cultural Heritage.</p>

CRITICAL ANALYSIS AND DIGITAL RECONSTRUCTIONS OF ALBERTI’S ARCHITECTURES BY THE USE OF 3D MORPHOMETRIC INTEGRATED SURVEY DATABASE

Since 2005, DIAPReM Centre of the Department of Architecture of the University of Ferrara, in collaboration with the "Centro Studi Leon Battista Alberti" Foundation and the Consorzio Futuro in Ricerca, is carrying out a research project for the creation of 3D databases that could allow the development of a critical interpretation of Alberti's architectural work. <br><br> The project is primarily based on a common three-dimensional integrated survey methodology for the creation of a navigable multilayered database. The research allows the possibility of reiterative metrical analysis, thanks to the use of a coherent data in order to check and validate hypothesis by researchers, art historians and scholars on Alberti's architectural work. <br><br> Coherently with this methodological framework, indeed, two case studies are explained in this paper: the church of San Sebastiano in Matua and The Church of the Santissima Annunziata in Florence. Furthermore, thanks to a brief introduction of further developments of the project, a short graphical analysis of preliminary results on Tempio Malatestiano in Rimini opens new perspectives of research.

Feature Based Search of 3D Databases

This paper presents a novel algorithm “Twig Match” for feature based shape retrieval systems. The algorithm exploits recent advances in computational methods for subgraph isomorphism, in order to enable databases containing many thousands of components to be searched in less than a second. A face adjacency graph representation is created from a B-Rep model, allowing model comparison to be treated as a labelled subgraph isomorphism problem. This paper describes an experimental implementation which allows interactive specification of a target “feature”. By selectively including geometric filters, on faces and relations between neighbouring faces, the algorithm can ensure that matching topology is not incorrectly identified as matching geometry, while also offering users the ability to improve the precision of both query and results. Experimental results show that Twig Match accurately retrieves matching and similar sub-parts from collections at speeds suitable for interactive applications.

3D Modeling of Transformer Substation Based on Mapping and 2D Images

A new method for building 3D models of transformer substation based on mapping and 2D images is proposed in this paper. This method segments objects of equipment in 2D images by usingk-means algorithm in determining the cluster centers dynamically to segment different shapes and then extracts feature parameters from the divided objects by using FFT and retrieves the similar objects from 3D databases and then builds 3D models by computing the mapping data. The method proposed in this paper can avoid the complex data collection and big workload by using 3D laser scanner. The example analysis shows the method can build coarse 3D models efficiently which can meet the requirements for hazardous area classification and constructions representations of transformer substation.

A STATE OF THE ART COMPARISON OF DATABASES FOR FACIAL OCCLUSION

Face recognition continues to be one of the most popular research areas of image processing and computer vision. There are various face databases available to researchers for face detection and recognition. These databases are customized for a particular need of one algorithm. They are range in size, scope, and purpose. Few of these databases from the literature contain face occlusions in several positions of the faces to enable real world applications. In this paper, we present four different occlusion face databases. These are Aleix-Robert (AR), Bosphorus, Labeled Faces in the Wild (LFW), and University of Milano Bicocca Database (UMB) face databases. At each section, the key features of the database are presented with the recording conditions, though not all of them are discussed at the same level of details. Detailed comparisons of the databases were made based on controlled and uncontrolled databases, 2D and 3D databases and also their uniqueness. Comparison was also made with other databases out of the categorization mentioned. The databases are useful for performing a rigorous benchmarking of face detection and recognition algorithms.