Pas de résumé / In this thesis, we study the problem of registering 2D image sets and 3D point clouds under threedifferent acquisition set-ups. The first set-up assumes that the image sets are captured using 2Dcameras that are fully calibrated and coupled, or rigidly attached, with a 3D sensor. In this context,the point cloud from the 3D sensor is registered directly to the asynchronously acquired 2D images.In the second set-up, the 2D cameras are internally calibrated but uncoupled from the 3D sensor,allowing them to move independently with respect to each other. The registration for this set-up isperformed using a Structure-from-Motion reconstruction emanating from images and planar patchesrepresenting the point cloud. The proposed registration method is globally optimal and robust tooutliers. It is based on the theory Sum-of-Squares polynomials and a Branch-and-Bound algorithm.The third set-up consists of uncoupled and uncalibrated 2D cameras. The image sets from thesecameras are registered to the point cloud in a globally optimal manner using a Branch-and-Prunealgorithm. Our method is based on a Linear Matrix Inequality framework that establishes directrelationships between 2D image measurements and 3D scene voxels.

A common co-pathology of large lung tumors located near the central airways is collapse of portions of lung due to blockage of airflow by the tumor. Not only does the lung volume decrease as collapse occurs, but fluid from capillaries also fills the space no longer occupied by air, greatly altering tissue appearance. During radiotherapy, typically administered to the patient over multiple weeks, the tumor can dramatically shrink in response to the treatment, restoring airflow to the lung sections which were collapsed when therapy began. While return of normal lung function is a positive development, the change in anatomy presents problems for future radiation sessions since the treatment was planned on lung geometry which is no longer accurate. The treatment must be adapted to the new lung state so that the radiation continues to accurately target the tumor while safely avoiding healthy tissue. However, to account for the dose delivered previously, correspondences of anatomy between the former image when the lung was collapsed and the re-expanded lung in a current image must be obtained. This process, known as deformable image registration, is performed by registration software. Most registration algorithms assume that identical anatomy is contained in the images and that intensities of corresponding image elements are similar; both assumptions are untrue when collapsed lung re-expands. This work was to develop an algorithm which accurately registers images in the presence of lung expansion. The lung registration method matched CT images of patients aided by vessel enhancement and information of individual lobe boundaries. The algorithm was tested on eighteen patients with lung collapse using physician-specified correspondences to measure registration error. The image registration algorithm developed in this work which was designed for challenging lung patients resulted in accuracy comparable to that of other methods when large lung changes are absent.

Please read the abstract in the section, 00front, of this document / Dissertation (M Mus (Performing Art))--University of Pretoria, 2008. / Music / MMus / unrestricted

G.F. Kauffmann exerted great, albeit disparaged influence on his contemporaries and the subsequent generation of organists and composers. Many of his works were copied and regularly performed by these musicians, including prominent composers such as J.S. Bach and J.G. Walther. Kauffmann is mostly associated with one of the most important collection of chorale preludes in the Baroque, viz. the Harmonische Seelenlust (Leipzig 1733), of which he is the composer. Among the numerous peculiar characteristics of this work are the registration indications supplied by Kauffmann himself. It is the most detailed source of registration in the entire Baroque era, consequently giving us a unique insight into the trends of combining stops during this period. Using Kauffmann’s particular style of registration, it becomes possible and even desirable to implement these suggestions found in the Harmonische Seelenlust in the works of his contemporaries. Kauffmann devised a specific system of registration for specific genres of works that are adaptable to his own works that were not supplied with registration, and to the works of his contemporaries. / Thesis (PMus (Performing Art))--University of Pretoria, 2006. / Music / unrestricted

The technology of haptics rendering has greatly enriched development in Multimedia applications, such as teleoperation, gaming, medical and etc., because it makes the virtual object touchable by the human operator(s) in real world. Human head stiffness rendering is significant in haptic interactive applications as it defines the degree of reality in physical interaction of a human avatar created in virtual environment. In a similar research, the haptic rendering approach has two main types: 1) Haptic Information Integration and 2) Deformation Simulation. However, the complexity in anatomic and geometric structure of a human head makes the rendering procedure challenging because of the issues of accuracy and efficiency. In this work, we propose a hybrid method to render the appropriate stiffness property onto a 3D head polygon mesh of an individual user by firstly studying human head's sophisticated deformation behaviour and then rendering such behaviour as the resultant stiffness property on the polygon mesh. The stiffness property is estimated from a semantically registered and shape-adapted skull template mesh as a reference and modeled from soft tissue's deformation behaviour in a nonlinear Finite Element Method (FEM) framework. To render the stiffness property, our method consists of different procedures, including 3D facial landmark detection, models semantic registration using Iterative Closest Point (ICP) technique, adaptive shape modification processed with a modified Weighted Free-Form Deformation (FFD) and FEM Simulation. After the stiffness property is rendered on a head polygon mesh, we perform a user study by inviting participants to experience the haptic feedback rendered from our results. According to the participants' feedback, the head polygon mesh's stiffness property is properly rendered as it satisfies their expectation.

Non-rigid shapes are generally known as objects whose three dimensional geometry may deform by internal and/or external forces. Deformable shapes are all around us, ranging from protein molecules, to natural objects such as the trees in the forest or the fruits in our gardens, and even human bodies. Two deformable shapes may be related by isometry, which means their intrinsic geometries are preserved, even though their extrinsic geometries are dissimilar. An important problem in the analysis of the deformable shapes is to identify the three-dimensional correspondence between two isometric shapes, given that the two shapes may be deviated from isometry by intrinsic distortions. A major challenge is that non-rigid shapes have large degrees of freedom on how to deform. Nevertheless, irrespective of how they are deformed, they may be aligned such that the geodesic distance between two arbitrary points on two shapes are nearly equal. Such alignment may be expressed by a permutation matrix (a matrix with binary entries) that corresponds to every paired geodesic distance in between the two shapes. The alignment involves searching the space over all possible mappings (that is all the permutations) to locate the one that minimizes the amount of deviation from isometry. A brute-force search to locate the correspondence is not computationally feasible. This thesis introduces a novel approach created to locate such correspondences, in spite of the large solution space that encompasses all possible mappings and the presence of intrinsic distortion. In order to find correspondences between two shapes, the first step is to create a suitable descriptor to accurately describe the deformable shapes. To this end, we developed deformation-invariant metric descriptors. A descriptor constitutes pair-wise geodesic distances among arbitrary number of discrete points that represent the topology of the non-rigid shape. Our descriptor provides isometric-invariant representation of the shape irrespective of its circumstantial deformation. Two isometric-invariant descriptors, representing two candidate deformable shapes, are the input parameters to our optimization algorithm. We then proceed to locate the permutation matrix that aligns the two descriptors, that minimizes the deviation from isometry. Once we have developed such a descriptor, we turn our attention to finding correspondences between non deformable shapes. In this study, we investigate the use of both classical and quantum particle swarm optimization (PSO) algorithms for this task. To explore the merits of variants of PSO, integer optimization involving test functions with large dimensions were performed, and the results and the analysis suggest that quantum PSO is more effective optimization method than its classical PSO counterpart. Further, a scheme is proposed to structure the solution space, composed of permutation matrices, in lexicographic ordering. The search in the solution space is accordingly simplified to integer optimization to find the integer rank of the targeted permutation matrix. Empirical results suggest that this scheme improves the scalability of quantum PSO across large solution spaces. Yet, quantum PSO's global search capability requires assistance in order to more effectively manoeuvre through the local extrema prevalent in the large solution spaces. A mutation based genetic algorithm (GA) is employed to augment the search diversity of quantum PSO when/if the swarm stagnates among the local extrema. The mutation based GA instantly disengages the optimization engine from the local extrema in order to reorient the optimization energy to the trajectories that steer to the global extrema, or the targeted permutation matrix. Our resultant optimization algorithm combines quantum Particle Swarm Optimization (PSO) and mutation based Genetic Algorithm (GA). Empirical results show that the optimization method presented is scalable and efficient on standard hardware across different solution space sizes. The performance of the optimization method, in simulations and on various near-isometric shapes, is discussed. In all cases investigated, the method could successfully identify the correspondence among the non-rigid deformable shapes that were related by isometry.

The diploma thesis deals with chosen aspects of the trade mark registration with the view to the current and also previous Czech legislation, the Community trade mark and the international trade mark. It compares the requirements imposed not only by the public regulations but also by obligatory rules of trade mark offices on the applicant and it keeps under review the amount of administrative demands of the trade mark registration according to respective systems. The work concentrates on possibilities of the information sources relating to the trade mark registration, on formalities of the correct and complete submission of the trade mark application, on possible ways of communication with offices and on the formal and absolute ground examination.

Conditions for trade marks registration History of trade marks Restrictions for trade marks registration

This diploma thesis deals with topic called Application of creditor´s claim in to the insolvency proceeding. Attention is paid on handling with this debt in the time between registration and review procedure, on which is this debt validated or rejected. This thesis is also focused on characteristics of each type of debt and their registration. The main focus of this thesis is on analysis of the topic - defects of registrations and its consequences on the creditors claim in insolvency proceeding. Part of this thesis is also detailed analysis of each disclaiming act and each person which can do this act. After that are studied consequences of these disclaiming acts. There is also compared current legislation with the old one and used jurisprudence for law interpretation.

Afrika Hymnus I, the first large-scale work for solo organ by the eminent South African composer Stefans Grové, has proved to be one of his most outstanding and successful works, with three commercially-available recordings by prominent organists and frequent performances both in South Africa and abroad. Yet the work has received relatively little academic attention, with existing discussions mostly being aimed at identifying indigenous African elements that might be found in the work. The present study provides a more in-depth examination of the work’s content, by investigating it according to the phenomena of musical style, with the objective of contributing towards a better understanding of Grové’s distinctive style. To this end, each movement is discussed separately, with a focus on the following topics: structure, melodic content, vertical aspects, rhythm, texture, and registration (the last aspect being unique to organ music). The discussion yields prominent stylistic traits, such as the use of short motifs and their derivatives, specific intervals being accorded great significance, the use of non-diatonic scale formations, recurring chord structures, a reliance on an underlying additive rhythmic framework, a rich diversity of textures ranging from simple to multi-layered and inventive, and a distinctive and evocative application of registration. A brief discussion of the solo organ works that predate Afrika Hymnus I shows that evidence of some of these features can already be found in those works. The study also shows how Afrika Hymnus I achieves cohesion, both within the complex multipart structures of the outer movements and as a whole. The discussion includes rich descriptions of the prominent musical features, complemented by numerous music examples. / Dissertation (MMus)--University of Pretoria, 2014. / lk2014 / Music / MMus / Unrestricted