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Virtual reconstruction of historic sites, planning of restorations and attachments of new building parts, as well as forest inventory are few examples of fields that benefit from the application of 3D surveying data. Originally using 2D photo based documentation and manual distance measurements, the 3D information obtained from multi camera and laser scanning systems realizes a noticeable improvement regarding the surveying times and the amount of generated 3D information. The 3D data allows a detailed post processing and better visualization of all relevant spatial information. Yet, for the extraction of the required information from the raw scan data and for the generation of useable visual output, time-consuming, complex user-based data processing is still required, using the commercially available 3D software tools. In this context, the automatic object recognition from 3D point cloud and depth data has been discussed in many different works. The developed tools and methods however, usually only focus on a certain kind of object or the detection of learned invariant surface shapes. Although the resulting methods are applicable for certain practices of data segmentation, they are not necessarily suitable for arbitrary tasks due to the varying requirements of the different fields of research. This thesis presents a more widespread solution for automatic scene reconstruction from 3D point clouds, targeting street scenarios, specifically for the task of traffic accident scene analysis and documentation. The data, obtained by sampling the scene using a mobile scanning system is evaluated, segmented, and finally used to generate detailed 3D information of the scanned environment. To realize this aim, this work adapts and validates various existing approaches on laser scan segmentation regarding the application on accident relevant scene information, including road surfaces and markings, vehicles, walls, trees and other salient objects. The approaches are therefore evaluated regarding their suitability and limitations for the given tasks, as well as for possibilities concerning the combined application together with other procedures. The obtained knowledge is used for the development of new algorithms and procedures to allow a satisfying segmentation and reconstruction of the scene, corresponding to the available sampling densities and precisions. Besides the segmentation of the point cloud data, this thesis presents different visualization and reconstruction methods to achieve a wider range of possible applications of the developed system for data export and utilization in different third party software tools.

Inhalt: Nachhaltiger Stadtumbau und Erneuerbare Energien - Ansatz und Konzepte einer ökologischen Stadtentwicklung Wohnprojekt Dresden Pillnitz - Innovatives Energiekonzept für zwei Mehrfamilienhäuser in Passivhausbauweise Tiefbautechnik in der Praxis - Die spektakuläre Gablenzbach-Sanierung Mauern für die Ewigkeit - Rekonstruktion, Sanierung und Neubau von Mauerwerksbauten Wärmebrückenbeheizung - Ein Widerspruch? Solares Heizen mit Großanlagen - Chancen und Perspektiven Bauphysikalische Wertung von belüfteten und nicht belüfteten Dächern Kritische Aspekte zum sommerlichen Wärmeschutz – Vorbemessung

Virtual reconstruction of historic sites, planning of restorations and attachments of new building parts, as well as forest inventory are few examples of fields that benefit from the application of 3D surveying data. Originally using 2D photo based documentation and manual distance measurements, the 3D information obtained from multi camera and laser scanning systems realizes a noticeable improvement regarding the surveying times and the amount of generated 3D information. The 3D data allows a detailed post processing and better visualization of all relevant spatial information. Yet, for the extraction of the required information from the raw scan data and for the generation of useable visual output, time-consuming, complex user-based data processing is still required, using the commercially available 3D software tools. In this context, the automatic object recognition from 3D point cloud and depth data has been discussed in many different works. The developed tools and methods however, usually only focus on a certain kind of object or the detection of learned invariant surface shapes. Although the resulting methods are applicable for certain practices of data segmentation, they are not necessarily suitable for arbitrary tasks due to the varying requirements of the different fields of research. This thesis presents a more widespread solution for automatic scene reconstruction from 3D point clouds, targeting street scenarios, specifically for the task of traffic accident scene analysis and documentation. The data, obtained by sampling the scene using a mobile scanning system is evaluated, segmented, and finally used to generate detailed 3D information of the scanned environment. To realize this aim, this work adapts and validates various existing approaches on laser scan segmentation regarding the application on accident relevant scene information, including road surfaces and markings, vehicles, walls, trees and other salient objects. The approaches are therefore evaluated regarding their suitability and limitations for the given tasks, as well as for possibilities concerning the combined application together with other procedures. The obtained knowledge is used for the development of new algorithms and procedures to allow a satisfying segmentation and reconstruction of the scene, corresponding to the available sampling densities and precisions. Besides the segmentation of the point cloud data, this thesis presents different visualization and reconstruction methods to achieve a wider range of possible applications of the developed system for data export and utilization in different third party software tools.

Cette thèse relate la conception d’une entreprise artiste créée par l’auteur, artiste entrepreneuse, dans l’intention de témoigner des mutations des villes et des choix effectués en matière de conservation ou de destruction. Urban Memory, entreprise de « rechargement en contenu mnémonique », a vu le jour en 2012 à Dresde, capitale saxonne, bombardée en 1945. Située à l’est de l’Allemagne, cette ville est en constant chantier depuis des décennies. C’est par l’intermédiaire d’une pratique artistique mêlant la peinture et la sérigraphie avec des moyens de communication mis en scène dans l’urbain qu’Urban Memory entend rendre compte des transformations du paysage architectural et accompagner les débats autour de l’identité et la mémoire de la ville. Dans une première partie, l’auteur retrace son parcours de découverte et de réflexion sur Dresde au travers de premiers travaux ; présente le contexte historique, politique et économique des mutations ; puis nous livre une analyse des entreprises artistes à partir de laquelle elle a conçu Urban Memory, son mode de fonctionnement et ses stratégies. Dans une seconde partie, l’auteur nous guide dans le centre historique de Dresde, le long de ses monuments et mémoriaux, afin de souligner tantôt l’éloquence, tantôt le silence dont sont capables de tels édifices et installations dans la ville ; puis se tourne vers la scène artistique contemporaine et ses moyens de création d’une mémoire « vivante ». Enfin, après avoir mis en lien ses propres outils artistiques et le contexte de sa recherche, l’auteur nous révèle les premières réalisations et les projets d’installation in situ de son entreprise. / This thesis examines the author’s conceptualization and establishment of an artist company with the objective of tracing urban transformations and of assessing decisions to conserve or destroy parts of the city. Urban Memory, a company that has as its goal the “recharging of mnemonic content,” was founded in Saxony’s capital city Dresden in 2012. Located in the east of Germany, this city, bombarded in 1945, has constantly been under construction in the past decades. Urban Memory takes account of the architectural landscape’s transformations and accompanies debates about the identity and memory of the city. It does so by means of a hybrid form of artistic practices—painting and serigraphy—and communication media placed in the urban context. The first section of this thesis explores the artist’s discovery and initial reflections on Dresden in the context of her first works; it explores the historical, political and economic context of the city’s transformations; and it analyzes artist companies based on which Urban Memory has been conceived as well as its basic functional framework and strategic outlook. The second part zooms in on the historical center of Dresden, its monuments and memorial sites, so as to expose both the eloquence and silence with which the built environment of the city treats its past. Moreover, this part turns to the milieu of contemporary artists and their means of creating a ‘living’ memory. Finally, after having discussed and related the artistic dimension of her project, the author presents the company’s first projects and in situ installations.

Applicable image-based reconstruction of three-dimensional (3D) objects offers many interesting industrial as well as private use cases, such as augmented reality, reverse engineering, 3D printing and simulation tasks. Unfortunately, image-based 3D reconstruction is not yet applicable to these quite complex tasks, since the resulting 3D models are single, monolithic objects without any division into logical or functional subparts. This thesis aims at making image-based 3D reconstruction feasible such that captures of standard cameras can be used for creating functional 3D models. The research presented in the following does not focus on the fine-tuning of algorithms to achieve minor improvements, but evaluates the entire processing pipeline of image-based 3D reconstruction and tries to contribute at four critical points, where significant improvement can be achieved by advanced human-computer interaction: (i) As the starting point of any 3D reconstruction process, the object of interest (OOI) that should be reconstructed needs to be annotated. For this task, novel pixel-accurate OOI annotation as an interactive process is presented, and an appropriate software solution is released. (ii) To improve the interactive annotation process, traditional interface devices, like mouse and keyboard, are supplemented with human sensory data to achieve closer user interaction. (iii) In practice, a major obstacle is the so far missing standard for file formats for annotation, which leads to numerous proprietary solutions. Therefore, a uniform standard file format is implemented and used for prototyping the first gaze-improved computer vision algorithms. As a sideline of this research, analogies between the close interaction of humans and computer vision systems and 3D perception are identified and evaluated. (iv) Finally, to reduce the processing time of the underlying algorithms used for 3D reconstruction, the ability of artificial neural networks to reconstruct 3D models of unknown OOIs is investigated. Summarizing, the gained improvements show that applicable image-based 3D reconstruction is within reach but nowadays only feasible by supporting human-computer interaction. Two software solutions, one for visual video analytics and one for spare part reconstruction are implemented. In the future, automated 3D reconstruction that produces functional 3D models can be reached only when algorithms become capable of acquiring semantic knowledge. Until then, the world knowledge provided to the 3D reconstruction pipeline by human computer interaction is indispensable.

Die Positronen-Emissions-Tomographie (PET) bei der Schwerionentherapie ist eine wichtige Methode zur Qualitätskontrolle in der Tumortherapie mit Kohlenstoffionen. Die vorliegende Arbeit beschreibt die Verbesserungen des PET-Verfahrens, wodurch sich in der Folge präzisere Aussagen zur Dosisapplikation treffen lassen. Aufbauend auf den Grundlagen (Kap. 2) werden die Neuentwicklungen in den drei darauf folgenden Abschnitten (Modellierung des Abbildungsprozesses bei der PET, Streukorrektur für PET bei der Schwerionentherapie, Verarbeitung der rekonstruierten PET-Daten) beschrieben. Die PET-Methode bei der Schwerionentherapie basiert auf dem Vergleich zwischen den gemessenen und vorausberechneten Aktivitätsverteilungen. Die verwendeten Modelle in der Simulation (Erzeugung der Positronenemitter, deren Ausbreitung, der Transport und der Nachweis der Annihilationsquanten) sollten so präzise wie möglich sein, damit ein aussagekräftiger Vergleich möglich wird. Die Genauigkeit der Beschreibung der physikalischen Prozesse wurde verbessert und zeiteffiziente Algorithmen angewendet, die zu einer erheblichen Verkürzung der Rechenzeit führen. Die erwarteten bzw. die gemessenen räumlichen Radioaktivitätsverteilungen werden mit einem iterativen Verfahren rekonstruiert [Lau99]. Die gemessenen Daten müssen hinsichtlich der im Messobjekt auftretenden Comptonstreuung der Annihilationsphotonen korrigiert werden. Es wird ein geeignetes Verfahren zur Streukorrektur für die Therapieüberwachung vorgeschlagen und dessen Realisierung beschrieben. Zur Einschätzung der Güte der Behandlung wird die gemessene und die simulierte Aktivitätsverteilung verglichen. Dazu wurde im Rahmen der vorliegenden Arbeit eine Software entwickelt, das die rekonstruierten PET-Daten visualisiert und die anatomischen Informationen des Röntgentomogramms mit einbezieht. Nur durch dieses Auswerteverfahren war es möglich, Fehler im physikalischen Strahlmodell aufzudecken und somit die Bestrahlungsplanung zu verbessern.

No description available.