Fenomeni di transizione degli organismi edilizi, criteri operativi di inserimento ambientale e procedure di intervento

La presente tesi indaga le potenzialità, in termini di criteri operativi di inserimento ambientale e procedure di intervento, che possono derivare dall’analisi dei fenomeni insediativi facendo riferimento ai concetti di ‘transizione’ e ‘resilienza’. L’attuale periodo di crisi sembra scaturire dal disequilibrio di due fattori: le esigenze umane e l’ambiente. La contestualizzazione degli interventi, il graduale adattamento alle risorse ambientali locali e la valorizzazione dei processi “dal basso” sembrano consentire di riappropriarsi sia del valore identitario dei luoghi, dando risposta ai problemi di natura sociale evidenziati, sia della eco-compatibilità delle trasformazioni, del corretto utilizzo delle risorse energetiche e della gestione delle dinamiche economiche, in risposta ai problemi ambientali analizzati. Il prefigurare applicazioni pratiche del modello di trasformazione indagato alla scala edilizia, utilizzando tavole parametriche di analisi del costruito, viste d’insieme planivolumetriche ed elaborazioni di dati e immagini, può consentire la gestione di eventuali fasi di programmazione e di pianificazione da parte delle amministrazioni finalizzate a favorire e non ostacolare i presenti e futuri fenomeni di transizione. Particolarmente significativa appare l’analisi delle diverse tendenze di ricerca progettuale in atto, con riferimento a contributi caratterizzati da un’impostazione fenomenologica e tipo-morfologica, che dimostra l’attualità degli argomenti affrontati. La ricerca di Dottorato si conclude con l’applicazione dei criteri operativi di inserimento ambientale e delle procedure di intervento individuati ad uno specifico caso di studio.

Algorithms for on-line image registration from multiple views

Images of a scene, static or dynamic, are generally acquired at different epochs from different viewpoints. They potentially gather information about the whole scene and its relative motion with respect to the acquisition device. Data from different (in the spatial or temporal domain) visual sources can be fused together to provide a unique consistent representation of the whole scene, even recovering the third dimension, permitting a more complete understanding of the scene content. Moreover, the pose of the acquisition device can be achieved by estimating the relative motion parameters linking different views, thus providing localization information for automatic guidance purposes. Image registration is based on the use of pattern recognition techniques to match among corresponding parts of different views of the acquired scene. Depending on hypotheses or prior information about the sensor model, the motion model and/or the scene model, this information can be used to estimate global or local geometrical mapping functions between different images or different parts of them. These mapping functions contain relative motion parameters between the scene and the sensor(s) and can be used to integrate accordingly informations coming from the different sources to build a wider or even augmented representation of the scene. Accordingly, for their scene reconstruction and pose estimation capabilities, nowadays image registration techniques from multiple views are increasingly stirring up the interest of the scientific and industrial community. Depending on the applicative domain, accuracy, robustness, and computational payload of the algorithms represent important issues to be addressed and generally a trade-off among them has to be reached. Moreover, on-line performance is desirable in order to guarantee the direct interaction of the vision device with human actors or control systems. This thesis follows a general research approach to cope with these issues, almost independently from the scene content, under the constraint of rigid motions. This approach has been motivated by the portability to very different domains as a very desirable property to achieve. A general image registration approach suitable for on-line applications has been devised and assessed through two challenging case studies in different applicative domains. The first case study regards scene reconstruction through on-line mosaicing of optical microscopy cell images acquired with non automated equipment, while moving manually the microscope holder. By registering the images the field of view of the microscope can be widened, preserving the resolution while reconstructing the whole cell culture and permitting the microscopist to interactively explore the cell culture. In the second case study, the registration of terrestrial satellite images acquired by a camera integral with the satellite is utilized to estimate its three-dimensional orientation from visual data, for automatic guidance purposes. Critical aspects of these applications are emphasized and the choices adopted are motivated accordingly. Results are discussed in view of promising future developments.