The goal of this thesis is the development of methods for augmented image synthesis using 3D photo collections. 3D photo collections are representations of real scenes automatically generated from single photos and describe a scene as a set of images with known camera poses as well as a sparse point-based model of the scene geometry. The main goal is to perform a photo-realistic augmented image synthesis of real and virtual parts, where the real scene is provided as a 3D photo collection. Therefore, three main problems are addressed. Since the photos may be represented in different device-specific RGB color spaces, a color characterization of the 3D photo collections is necessary to gain correct color information that is consistent with human perception. The proposed novel method automatically transforms all images into a common RGB color space and thereby simplifies color characterization of 3D photo collections. As a main problem for augmented image synthesis, all environmental lighting has to be known in order to apply illumination to virtual parts that is consistent with the real portions shown in the photos. To solve this problem, two novel methods were developed to reconstruct the lighting from 3D photo collections. In order to perform image synthesis for arbitrary views on the scene, an image-based approach was developed that generates new views in 3D photo collections making direct use of its point cloud. The novel method creates new views in real-time and allows free-navigation. In conclusion, the proposed novel methods show that 3D photo collections are a useful representation for real scenes in Augmented Reality and they can be used to perform a realistic image synthesis of real and virtual portions.

Veranstaltungsverzeichnis der Universität Koblenz - Landau, Campus Landau für das Sommersemester 2014

In this bachelor thesis an existing generic concept and an existing prototype for a smartphone application to record, monitor and document physical symptoms or observations of the human body are being extended. The existing funktionalities are being complemented by analysis of the previous Prototype. The concept and its Function modules, which are implemented in the existing prototype for the mobile platform Android, are being extended based on their analysed weaknesses. The resulting prototype and generic concept are evaluated and optimizations and extensions are being collected for further projects.

Existing algorithms using a beaconless strategy for geographic routing in Unit-Disk Graphs offer an approach for improving non-beaconless routing algorithms for Quasi-Unit-Disk Graphs. The majority of the aforementioned non-beaconlessrnrouting algorithms for Quasi-Unit-Disk Graphs are based on collecting 2-hop neighbourhood information. As shown by the Beaconless Clustering Algorithm developed in this thesis, a beaconless strategy can be used to enhance an existing non-beaconless algorithm by reducing message overhead and power consumption. The Beaconless Clustering algorithm is based on geographic clustering and constructs a sparse graph with constant number of vertices per unit area. The thesis at hand contains a detailed description of the algorithm, a proof of correctness and a simulation for presenting reachable improvements.

The present thesis covers the implementation and optimization of global illumination in three-dimensional scenes. Global illumination does not only consider direct illumination dependent on one or more light sources, but also indirect illumination which is emitted by surrounding objects in the scene. The thesis focuses on the implementation of a global illumination method and its improvement using OpenGL 4.4. This is done by a voxelization of the scene. By traversing the resulting voxel structure, additional information is taken from the scene, which contributes to a plausible global illumination.