Global ETD Search

41	Two- and Three-dimensional Face Recognition under Expression Variation Mohammadzade, Narges Hoda 30 August 2012 (has links) In this thesis, the expression variation problem in two-dimensional (2D) and three-dimensional (3D) face recognition is tackled. While discriminant analysis (DA) methods are effective solutions for recognizing expression-variant 2D face images, they are not directly applicable when only a single sample image per subject is available. This problem is addressed in this thesis by introducing expression subspaces which can be used for synthesizing new expression images from subjects with only one sample image. It is proposed that by augmenting a generic training set with the gallery and their synthesized new expression images, and then training DA methods using this new set, the face recognition performance can be significantly improved. An important advantage of the proposed method is its simplicity; the expression of an image is transformed simply by projecting it into another subspace. The above proposed solution can also be used in general pattern recognition applications. The above method can also be used in 3D face recognition where expression variation is a more serious issue. However, DA methods cannot be readily applied to 3D faces because of the lack of a proper alignment method for 3D faces. To solve this issue, a method is proposed for sampling the points of the face that correspond to the same facial features across all faces, denoted as the closest-normal points (CNPs). It is shown that the performance of the linear discriminant analysis (LDA) method, applied to such an aligned representation of 3D faces, is significantly better than the performance of the state-of-the-art methods which, rely on one-by-one registration of the probe faces to every gallery face. Furthermore, as an important finding, it is shown that the surface normal vectors of the face provide a higher level of discriminatory information rather than the coordinates of the points. In addition, the expression subspace approach is used for the recognition of 3D faces from single sample. By constructing expression subspaces from the surface normal vectors at the CNPs, the surface normal vectors of a 3D face with single sample can be synthesized under other expressions. As a result, by improving the estimation of the within-class scatter matrix using the synthesized samples, a significant improvement in the recognition performance is achieved. face recognition 3D face recognition facial expression point correspondence discriminant methods surface normal vector 3D face registration iterative closest normal point linear discriminant analysis expression transformation expression subspace principal component analysis biometrics verification generic training single sample expression variation FRGC nose detection 3D face segmentation 0544 0984
42	Optimierter Einsatz eines 3D-Laserscanners zur Point-Cloud-basierten Kartierung und Lokalisierung im In- und Outdoorbereich / Optimized use of a 3D laser scanner for point-cloud-based mapping and localization in indoor and outdoor areas Schubert, Stefan 05 March 2015 (has links) (PDF) Die Kartierung und Lokalisierung eines mobilen Roboters in seiner Umgebung ist eine wichtige Voraussetzung für dessen Autonomie. In dieser Arbeit wird der Einsatz eines 3D-Laserscanners zur Erfüllung dieser Aufgaben untersucht. Durch die optimierte Anordnung eines rotierenden 2D-Laserscanners werden hochauflösende Bereiche vorgegeben. Zudem wird mit Hilfe von ICP die Kartierung und Lokalisierung im Stillstand durchgeführt. Bei der Betrachtung zur Verbesserung der Bewegungsschätzung wird auch eine Möglichkeit zur Lokalisierung während der Bewegung mit 3D-Scans vorgestellt. Die vorgestellten Algorithmen werden durch Experimente mit realer Hardware evaluiert. 3D-Laserscanner rotierender 2D-Laserscanner Scanmatching ICP KD-Tree Kartierung und Lokalisierung Punktwolke Point Cloud UGV Autonome mobile Robotik LRF laser rangefinder 3D laser scanner spinning 2D laser scanner scan matching ICP iterative closest point kd tree localization and mapping point cloud UGV unmanned ground vehicle autonomous mobile robotics ddc:620 Laserscanner Kartierung Lokalisierung <Robotik> Punktwolke Mobiler Roboter
43	Detekce a sledování polohy hlavy v obraze / Head Pose Estimation and Tracking Pospíšil, Aleš January 2011 (has links) Diplomová práce je zaměřena na problematiku detekce a sledování polohy hlavy v obraze jako jednu s možností jak zlepšit možnosti interakce mezi počítačem a člověkem. Hlavním přínosem diplomové práce je využití inovativních hardwarových a softwarových technologií jakými jsou Microsoft Kinect, Point Cloud Library a CImg Library. Na úvod je představeno shrnutí předchozích prací na podobné téma. Následuje charakteristika a popis databáze, která byla vytvořena pro účely diplomové práce. Vyvinutý systém pro detekci a sledování polohy hlavy je založený na akvizici 3D obrazových dat a registračním algoritmu Iterative Closest Point. V závěru diplomové práce je nabídnuto hodnocení vzniklého systému a jsou navrženy možnosti jeho budoucího zlepšení.
44	Optimierter Einsatz eines 3D-Laserscanners zur Point-Cloud-basierten Kartierung und Lokalisierung im In- und Outdoorbereich Schubert, Stefan 30 September 2014 (has links) Die Kartierung und Lokalisierung eines mobilen Roboters in seiner Umgebung ist eine wichtige Voraussetzung für dessen Autonomie. In dieser Arbeit wird der Einsatz eines 3D-Laserscanners zur Erfüllung dieser Aufgaben untersucht. Durch die optimierte Anordnung eines rotierenden 2D-Laserscanners werden hochauflösende Bereiche vorgegeben. Zudem wird mit Hilfe von ICP die Kartierung und Lokalisierung im Stillstand durchgeführt. Bei der Betrachtung zur Verbesserung der Bewegungsschätzung wird auch eine Möglichkeit zur Lokalisierung während der Bewegung mit 3D-Scans vorgestellt. Die vorgestellten Algorithmen werden durch Experimente mit realer Hardware evaluiert. info:eu-repo/classification/ddc/620 ddc:620
45	A comparative legal analysis of the effects of divorce on marital property Makola, Thulelo Mmakola 01 1900 (has links) The movement of people from county to country brought about an increase in international marriages. However, South African private international law rules with regard to the proprietary consequences of marriage are not on par with their foreign counterparts. The prejudicial rule which governs proprietary consequences of marriage has raised difficulties for our courts in past and recent cases. The advent of a new constitutional dispensation in South Africa forbids discrimination based on sex, gender and marital status. Furthermore, the question is asked whether parties to a marriage with a foreign matrimonial domicile may rely on section 7(3) of the Divorce Act 70 of 1979. The classification of redistribution orders in private international law matters has given rise to uncertainty. The objectives of the study are to suggest workable alternatives to the current connecting factor for proprietary consequences of marriage in South African private international law and to investigate the availability of redistribution orders to spouses applying for divorce in South Africa. / Private Law / LL. M. Choice of law Classification Closest connection Conflict of laws Connecting factor Constitutionality Divorce matters Domicile Habitual residence Lex domicilii matrimonii Lex fori Maintenance Matrimonial property Private international law Proprietary consequences of marriage Redistribution orders Same-sex marriages 346.1664 Marital property -- South Africa Marital property -- England Marital property -- Netherlands Alimony -- South Africa Alimony -- England Alimony -- Netherlands Divorce settlements -- South Africa Divorce settlements -- England Divorce settlements -- Netherlands Conflict of laws -- South Africa Conflict of laws -- England Conflict of laws -- Netherlands Domestic relations (International law) Lex fori

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