0000000000983865
AUTHOR
L. Inzerillo
IMAGE-BASED MODELING TECHNIQUES FOR ARCHITECTURAL HERITAGE 3D DIGITALIZATION: LIMITS AND POTENTIALITIES
Abstract. 3D reconstruction from images has undergone a revolution in the last few years. Computer vision techniques use photographs from data set collection to rapidly build detailed 3D models. The simultaneous applications of different algorithms (MVS), the different techniques of image matching, feature extracting and mesh optimization are inside an active field of research in computer vision. The results are promising: the obtained models are beginning to challenge the precision of laser-based reconstructions. Among all the possibilities we can mainly distinguish desktop and web-based packages. Those last ones offer the opportunity to exploit the power of cloud computing in order to car…
Essere prospettici. Be perspective
La scienza della rappresentazione per le sue preponderanti finalità applicative offre interessanti occasioni per promuovere sempre più nuove e specifiche ricerche. L’indagine di Laura Inzerillo sulle implicazioni geometrico-proiettive da applicare per una sempre più appropriata costruzione di immagini dell’Architettura e dell’Ambiente, rileva il possesso di una chiara impostazione teorica ed una pregevole versatilità discorsiva nel campo delle immagini prospettiche. In particolare modo apprezzo lo sforzo di sviluppare i metodi grafici indipendentemente dal dominio della rappresentazione digitale; lo sviluppo di un metodo che consente di ottenere facilmente la prospettiva da punti di vista c…
LA RESTITUZIONE PROSPETTICA: TEORIA E APPLICAZIONI
Una buona conoscenza, teorica ed operativa, del sistema proiettivo della prospettiva deve consentire, anche se talvolta con difficoltà di scelta e di applicazione, la comunicazione grafica intellegibile di ogni pensiero dello spazio geometrico articolato. Un’oculata gestione personale del bagaglio cognitivo, effettivamente disponibile e consapevolmente rispondente, di costruzioni geometriche codificate, deve fornire al pensiero del tridimensionale ogni supporto per ottenerne, nella proposta immagine bidimensionale la più certa e pronta veridicità. Il promotore dell’immagine, che pensa e disegna, e, il ricevitore, lettore e interprete, sono accomunati da una preparazione esecutiva e percetti…
Bim and architectural heritage: Towards an operational methodology for the knowledge and the management of cultural heritage
The study aims to answer the growing need for virtuously organize informational apparatuses related to Cultural Heritage. We propose a methodology that integrates multidisciplinary processes of interaction with information aimed at survey, documentation, management, knowledge and enhancement of historic artifacts. It is needed to review and update the procedure of instrumental data acquisition, standardization and structuring of the acquired data in a three-dimensional semantic model as well as the subsequent representability and accessibility of the model and the related database. If the use of Building Information Modeling has in recent years seen a consolidation in the procedures and the…
Crowd sourcing and low cost strategies of survey for documentation and analysis of museum collections
In these last years, there has been an increasing use of the Structure from Motion (SfM) techniques applied to Cultural Heritage. The accessibility of SfM software can be especially advantageous to users in non-technical fields or to those with limited resources. Thanks to SfM using, everyone can make with a digital camera a 3D model applied to an object of both Cultural Heritage, and physically Environment, and work arts, etc. One very interesting and useful application can be envisioned into museum collection digitalization. In the last years, a social experiment has been conducted involving young generation to live a social museum using their own camera to take pictures and videos. Stude…
Photogrammetric UAV technologies aimed at monitoring of infrastructures
The research has three key concept: the first one is the application of data analysis using limited data sets to understand historical and future road maintenance interventions; the second one is the application of image based 3D modelling and analysis of pavement distresses; the third one is the application of deep learning to detect and pinpoint pavement distresses