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Binocular vision
Bršlicová, Tereza ; Provazník, Ivo (referee) ; Kolář, Radim (advisor)
This bachelor thesis deals with the physiology of binocular vision to obtain spatial effects of two-dimensional images. The thesis contains description of the anatomy and physiology of the organ of sight. The work deals with the binocular vision itself and concepts associated with it, the pathology, examination and development of binocular vision. The next chapter concerns the stereoscopy, a technology that enables to perceive two-dimensional objects in 3D space, which is an integral part of the topic. There are also descriptions of individual stereoscopic projection technology, especially passive stereoscopic technology used in the practical part of the thesis. The practical part focuses on design of dynamic and static scenes using a pair of identical video cameras (VCRs) to obtain data for the production of stereoscopic recording. A description of designed scenes and its projection via passive stereoscopic technology to a group of volunteers is provided as well. The questionnaires assessed the quality of spatial effects.
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Rigid Body Simulation
Leitner, Denis ; Milet, Tomáš (referee) ; Chlubna, Tomáš (advisor)
This thesis deals with rigid body physics simulation in real time. It describes basic methods for collision detection between convex polyhedra, solving collisions and simulation of rigid body dynamics used in game development. Work also describes design and implementation of rigid body simulator written in C++ using OpenGL for rendering.
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3D display device
Varga, Tomáš ; Žalud, Luděk (referee) ; Burian, František (advisor)
Based on binocular vision the human eye is capable of generating the observed spatial perception of the object. Nowadays 3D imaging of two-dimensional surface is in vogue especially in the cinema industry. However, 3D imaging is gradually getting into other industries especially in other parts of everyday life (advertisements, presentations, entertainment ...). 3D images can be created in various ways, some of which are detailed in this master´s thesis. This thesis deals with the description and the drawing up of a 3D display which provides a three-dimensional image without using auxiliary objects such as glasses. The display unit produces a three-dimensional image at a fundamental level, which consists of providing high-speed rotation of the display and creates the current portion of the object in specified sections.
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Displaying 3D Graphics in Web Browser
Zvěřina, Jiří ; Herout, Adam (referee) ; Španěl, Michal (advisor)
This Bachelor's thesis deals with design and implementation of application displaying car's diagnostic information using 3D visualization. Application allows real-time displaying of warnings related to car parts malfunctions, such as engine failure, or low tire pressure. Aplication is based on WebGL technology, Three.js library and runs in a web browser.
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Design and implementation of 3D printer with network printing support
Špringer, Radek ; Hošek, Jiří (referee) ; Krajsa, Ondřej (advisor)
The goal of this thesis is to design a 3D printer type delta. To describe 3D printing technologies used by this printer, basic printer features and commercially available material used at the print and its comparison. To define all hardware components, which are necessary for construction of the 3D printer type delta. To create a proposal and construct an expansion board to which all hardware components of the printer will be connected. To optimize the print space heating and cooling of the printout. To extend the 3D printer with a Web server, which will ensure the network printing possibility.
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Automatic 3D segmentation of brain images
Bafrnec, Matúš ; Dorazil, Jan (referee) ; Kolařík, Martin (advisor)
This bachelor thesis describes the design and implementation of the system for automatic 3D segmentation of a brain based on convolutional neural networks. The first part is dedicated to a brief history of neural networks and a theoretical description of the functionality of convolutional neural networks. It represents a fast introduction to the problematics and provides theoretical basics needed for the understanding and creation of the system. Individual layers of the neural network and principles of their functionality and mutual relations are also described in this part. The second part of the thesis is about problem analysis, designing of a solution and a comparison between neural networks and other solutions. The result of a magnetic resonance imaging of the head is a series of black-and-white images representing a 3D scan. The task is to tag a brain and to remove unnecessary information in the form of surrounding tissues. The final image of the brain can be utilized in a volumetry or during a diagnostic of neurodegenerative diseases. The advantage of neural networks in comparison with deterministic systems is their flexibility. They allow an adaptation to other segmentation problems just by changing the training dataset, without a need of changes in the architecture. One of the systems performing fully automatic 3D segmentation is called U-Net – its name comes from the similarity of the architecture with the letter U. Three real solutions, the first implementation of U-Net, extended U-Net and recurrent U-Net were presented. The first version of U-Net has been very memory-demanding, it required a training on a processor instead of a graphic card and has not allowed data processing in full resolution. The extended U-Net has resolved these problems by loading data in overlaying series of three images. In addition to the possibility of a training on a graphic card with related decrease in learning time, the accuracy was increased by adding interconnections to the internal architecture of the network. The last version, recurrent U-Net, aims for the optimization of extended U-Net based on the reusage of existing levels. This brings a decrease in a time and resource difficulty. The number of parameters of the network was lowered to less than 20%, without any increase in case of further level addition. This network is one of first recurrent networks used on the problem of 3D segmentation and provides a foundation to further research. The last part focuses on the evaluation of results and the comparison of accuracy, speed and requirements between particular networks. The accuracy of human and machine segmentation is also compared. The extended and recurrent U-Net have surpassed their human opponent, which in real case could save a lot of doctors time and prevent human mistakes. The result of this work is a theoretical basis providing an introduction to the problematics of convolutional neural networks and segmentation, fully working systems for automatic 3D segmentation and the foundation for further research in the field of recurrent networks.
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Company Logo Transformation Using 3D Motion Graphics
Zunka, Ondřej ; Mráček, Pavel (referee) ; Kříž, Jiří (advisor)
The content of this document is to make reconstruction of company logo to threedimensional visualization and it's following creating of two short propagation videos. Whole thesis is divided into two main parts - theoretical and practical. In first part I will familiarize readers with theoretical basis needed for understanding of a practical part. In practical part I will present process of treatment animation mentioned above.
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Computer analysis of medical image data
Krajčír, Róbert ; Šmirg, Ondřej (referee) ; Uher, Václav (advisor)
This work deals with medical image analysis, using variety of statisic and numeric methods implemented in Eclipse and Rapidminer environments in Java programming language. Sets of images (slices), which are used here, are the results of magnetic resonance brain examination of several subejcts. Segments in this 3D image are analyzed and some local features are computed, based on which data sets for use in training algorythms are generated. The ability of successful identification of healthy or unhealthy tissues is then practically tested using available data.
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