19 resultados para climatic background
Resumo:
En los últimos años, y a la luz de los retos a los que se enfrenta la sociedad, algunas voces están urgiendo a dejar atrás los paradigmas modernos —eficiencia y rendimiento— que sustentan a las llamadas prácticas sostenibles, y están alentando a repensar, en el contexto de los cambios científicos y culturales, una agenda termodinámica y ecológica para la arquitectura. La cartografía que presenta esta tesis doctoral se debe de entender en este contexto. Alineándose con esta necesidad, se esfuerza por dar a este empeño la profundidad histórica de la que carece. De este modo, el esfuerzo por dotar a la arquitectura de una agenda de base científica, se refuerza con una discusión cultural sobre el progresivo empoderamiento de las ideas termodinámicas en la arquitectura. Esta cartografía explora la historia de las ideas termodinámicas en la arquitectura desde el principio del siglo XX hasta la actualidad. Estudia, con el paso de los sistemas en equilibrio a los alejados del equilibrio como trasfondo, como las ideas termodinámicas han ido infiltrándose gradualmente en la arquitectura. Este esfuerzo se ha planteado desde un doble objetivo. Primero, adquirir una distancia crítica respecto de las prácticas modernas, de modo que se refuerce y recalibre el armazón intelectual y las herramientas sobre las que se está apoyando esta proyecto termodinámico. Y segundo, desarrollar una aproximación proyectual sobre la que se pueda fundamentar una agenda termodinámica para la arquitectura, asunto que se aborda desde la firme creencia de que es posible una re-descripción crítica de la realidad. De acuerdo con intercambios de energía que se dan alrededor y a través de un edificio, esta cartografía se ha estructurado en tres entornos termodinámicos, que sintetizan mediante un corte transversal la variedad de intercambios de energía que se dan en la arquitectura: -Cualquier edificio, como constructo espacial y material inmerso en el medio, intercambia energía mediante un flujo bidireccional con su contexto, definiendo un primer entorno termodinámico al que se denomina atmósferas territoriales. -En el interior de los edificios, los flujos termodinámicos entre la arquitectura y su ambiente interior definen un segundo entorno termodinámico, atmósferas materiales, que explora las interacciones entre los sistemas materiales y la atmósfera interior. -El tercer entorno termodinámico, atmosferas fisiológicas, explora los intercambios de energía que se dan entre el cuerpo humano y el ambiente invisible que lo envuelve, desplazando el objeto de la arquitectura desde el marco físico hacia la interacción entre la atmósfera y los procesos somáticos y percepciones neurobiológicas de los usuarios. A través de estos tres entornos termodinámicos, esta cartografía mapea aquellos patrones climáticos que son relevantes para la arquitectura, definiendo tres situaciones espaciales y temporales sobre las que los arquitectos deben actuar. Estudiando las conexiones entre la atmósfera, la energía y la arquitectura, este mapa presenta un conjunto de ideas termodinámicas disponibles —desde los parámetros de confort definidos por la industria del aire acondicionado hasta las técnicas de acondicionamiento pasivo— que, para ser efectivas, necesitan ser evaluadas, sintetizadas y recombinadas a la luz de los retos de nuestro tiempo. El resultado es un manual que, mediando entre la arquitectura y la ciencia, y a través de este relato histórico, acorta la distancia entre la arquitectura y la termodinámica, preparando el terreno para la definición de una agenda termodinámica para el proyecto de arquitectura. A este respecto, este mapa se entiende como uno de los pasos necesarios para que la arquitectura recupere la capacidad de intervenir en la acuciante realidad a la que se enfrenta. ABSTRACT During the last five years, in the light of current challenges, several voices are urging to leave behind the modern energy paradigms —efficiency and performance— on which the so called sustainable practices are relying, and are posing the need to rethink, in the light of the scientific and cultural shifts, the thermodynamic and ecological models for architecture. The historical cartography this PhD dissertation presents aligns with this effort, providing the cultural background that this endeavor requires. The drive to ground architecture on a scientific basis needs to be complemented with a cultural discussion of the history of thermodynamic ideas in architecture. This cartography explores the history of thermodynamic ideas in architecture, from the turn of the 20th century until present day, focusing on the energy interactions between architecture and atmosphere. It surveys the evolution of thermodynamic ideas —the passage from equilibrium to far from equilibrium thermodynamics— and how these have gradually empowered within design and building practices. In doing so, it has posed a double-objective: first, to acquire a critical distance with modern practices which strengthens and recalibrates the intellectual framework and the tools in which contemporary architectural endeavors are unfolding; and second, to develop a projective approach for the development a thermodynamic agenda for architecture and atmosphere, with the firm belief that a critical re-imagination of reality is possible. According to the different systems which exchange energy across a building, the cartography has been structured in three particular thermodynamic environments, providing a synthetic cross-section of the range of thermodynamic exchanges which take place in architecture: -Buildings, as spatial and material constructs immersed in the environment, are subject to a contiuous bidirectional flow of energy with its context, defining a the first thermodynamic environment called territorial atmospheres. -Inside buildings, the thermodynamic flow between architecture and its indoor ambient defines a second thermodynamic environment, material atmospheres, which explores the energy interactions between the indoor atmosphere and its material systems. -The third thermodynamic environment, physiological atmospheres, explores the energy exchanges between the human body and the invisible environment which envelopes it, shifting design drivers from building to the interaction between the atmosphere and the somatic processes and neurobiological perceptions of users. Through these three thermodynamic environments, this cartography maps those climatic patterns which pertain to architecture, providing three situations on which designers need to take stock. Studying the connections between atmosphere, energy and architecture this map presents, not a historical paradigm shift from mechanical climate control to bioclimatic passive techniques, but a range of available thermodynamic ideas which need to be assessed, synthesized and recombined in the light of the emerging challenges of our time. The result is a manual which, mediating between architecture and science, and through this particular historical account, bridges the gap between architecture and thermodynamics, paving the way to a renewed approach to atmosphere, energy and architecture. In this regard this cartography is understood as one of the necessary steps to recuperate architecture’s lost capacity to intervene in the pressing reality of contemporary societies.
Resumo:
An innovative background modeling technique that is able to accurately segment foreground regions in RGB-D imagery (RGB plus depth) has been presented in this paper. The technique is based on a Bayesian framework that efficiently fuses different sources of information to segment the foreground. In particular, the final segmentation is obtained by considering a prediction of the foreground regions, carried out by a novel Bayesian Network with a depth-based dynamic model, and, by considering two independent depth and color-based mixture of Gaussians background models. The efficient Bayesian combination of all these data reduces the noise and uncertainties introduced by the color and depth features and the corresponding models. As a result, more compact segmentations, and refined foreground object silhouettes are obtained. Experimental results with different databases suggest that the proposed technique outperforms existing state-of-the-art algorithms.
Resumo:
In the recent years, the computer vision community has shown great interest on depth-based applications thanks to the performance and flexibility of the new generation of RGB-D imagery. In this paper, we present an efficient background subtraction algorithm based on the fusion of multiple region-based classifiers that processes depth and color data provided by RGB-D cameras. Foreground objects are detected by combining a region-based foreground prediction (based on depth data) with different background models (based on a Mixture of Gaussian algorithm) providing color and depth descriptions of the scene at pixel and region level. The information given by these modules is fused in a mixture of experts fashion to improve the foreground detection accuracy. The main contributions of the paper are the region-based models of both background and foreground, built from the depth and color data. The obtained results using different database sequences demonstrate that the proposed approach leads to a higher detection accuracy with respect to existing state-of-the-art techniques.
Resumo:
Low cost RGB-D cameras such as the Microsoft’s Kinect or the Asus’s Xtion Pro are completely changing the computer vision world, as they are being successfully used in several applications and research areas. Depth data are particularly attractive and suitable for applications based on moving objects detection through foreground/background segmentation approaches; the RGB-D applications proposed in literature employ, in general, state of the art foreground/background segmentation techniques based on the depth information without taking into account the color information. The novel approach that we propose is based on a combination of classifiers that allows improving background subtraction accuracy with respect to state of the art algorithms by jointly considering color and depth data. In particular, the combination of classifiers is based on a weighted average that allows to adaptively modifying the support of each classifier in the ensemble by considering foreground detections in the previous frames and the depth and color edges. In this way, it is possible to reduce false detections due to critical issues that can not be tackled by the individual classifiers such as: shadows and illumination changes, color and depth camouflage, moved background objects and noisy depth measurements. Moreover, we propose, for the best of the author’s knowledge, the first publicly available RGB-D benchmark dataset with hand-labeled ground truth of several challenging scenarios to test background/foreground segmentation algorithms.