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Visualization of Large Volumetric Data on CPU
Dlabaja, Drahomír ; Milet, Tomáš (referee) ; Španěl, Michal (advisor)
This thesis deals with the problem of displaying volumetric data that exceeds the operating memory capacity of the machine. The work describes the design of a visualization pipeline, which consists of a data structure for large volumetric data and an algorithm that visualizes such data. The proposed hierarchical data structure accelerates sampling and allows the reduction of the total amount of data that needs to be loaded into physical memory during visualization. Visualization of processed data is achieved by the ray casting method with existing optimization techniques, such as empty space skipping and early ray termination. The data structure allows up to 12x faster sampling compared to the sampling of raw large volumetric data serialized by rows. Up to 150x faster visualization of large volumetric data in near-lossless mode has been achieved compared to the fully lossless mode by utilizing the data hierarchy. The display scheme is implemented in the form of a library in C++20 language. The implementation uses acceleration by vectorization and allows easy parallelization by the user. The library provides tools for processing and visualization of large volumetric data on the CPU.
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Improvements of Shadow Rendering
Kobrtek, Jozef ; Kozlíková, Barbora (referee) ; Váša, Libor (referee) ; Herout, Adam (advisor)
Táto práca sa zaoberá inkrementálnym zlepšením techniky tieňových telies. V práci sa popisuje vylepšenie vykresľovania z pohľadu robustnosti kde bol navrhnutý nový spôsob deterministického výpočtu siluety na rôznych platformách. Táto technika bola v ďalšom kroku zjednodušená a celý algoritmus tieňových telies implementovaný prostredníctvom hardvérovej teselácie. Ďalej bola navrhnutá metóda akcelerovanej extrakcie siluety z modelu pomocou oktálového stromu. Navrhnuté metódy boli v závere porovnané s aktuálnymi modernými algoritmami s tvrdými všesmerovými tieňmi.
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Medical Data Rendering in Real-Time
Lengyel, Kristián ; Havel, Jiří (referee) ; Jošth, Radovan (advisor)
This thesis deals with design and implementation of an application for medical data imaging in real-time. The first part of project is focused on methods for obtaining data in medical practice and visualization of large volume data on computer using familiar rendering approaches. Similar applications are used outside of medicine in other fields, such as chemistry to display molecular structures or microorganisms. Another part of project will focus on benefits of visualization of volumetric data using programmable hardware and new methods of parallelization of algorithms on graphics card using CUDA technology, and OpenCL. The resulting application will display the volume of medical data based on selected method accelerated by programmable shaders, and time-consuming operations will be paralleled on graphics card.
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Vertex and Pixel Shaders OpenGL Visualisation of Medical 3D Image Data
Vaďura, Jiří ; Španěl, Michal (referee) ; Kršek, Přemysl (advisor)
This thesis deals with accelerated 3D rendering of medical data, e.g. computed tomography, using a graphics processor and OpenGL library. Raw data slices are send to graphic memory and rendered by a ray-casting algorithm. The goal of this project is high quality visual output and full user interaction at the same time. Multiple rendering modes are avaiable to the user: MIP, X-Ray simulation and realistic shading.
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3D Volume Rendering Data Visualization
Kazík, Jiří ; Španěl, Michal (referee) ; Kršek, Přemysl (advisor)
Theoretical part of this project is focused on rendering of volumetric data. It compares and appraise individual methods and thus readers get a good basic knowledge of commonnest causes of problems. Texture Mapped Volume Rendering is described in detail, because it is used in implementation of graphic system designed in this thesis. Whole system is created with maximal attention to platform independence. C++ language and Open Scene Graph toolkit are used for realization, so a brief description of OSG toolkit is also present in this work.
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3D Volume Rendering Data Visualization
Kazík, Jiří ; Švub, Miroslav (referee) ; Kršek, Přemysl (advisor)
Theoretical part of this project is focused on rendering of volumetric data. It compares and appraise individual methods and thus readers get a good basic knowledge of commonnest causes of problems. Texture Mapped Volume Rendering and Volume Ray-casting methods are described in detail and the latter method is used in implementation of graphic system designed in this thesis. Secondary goals of this work are usage of less powerful hardware for volume-rendering, methods of optimization and dynamic change of output quality.
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Visualization of Large Volumetric Data on CPU
Dlabaja, Drahomír ; Milet, Tomáš (referee) ; Španěl, Michal (advisor)
This thesis deals with the problem of displaying volumetric data that exceeds the operating memory capacity of the machine. The work describes the design of a visualization pipeline, which consists of a data structure for large volumetric data and an algorithm that visualizes such data. The proposed hierarchical data structure accelerates sampling and allows the reduction of the total amount of data that needs to be loaded into physical memory during visualization. Visualization of processed data is achieved by the ray casting method with existing optimization techniques, such as empty space skipping and early ray termination. The data structure allows up to 12x faster sampling compared to the sampling of raw large volumetric data serialized by rows. Up to 150x faster visualization of large volumetric data in near-lossless mode has been achieved compared to the fully lossless mode by utilizing the data hierarchy. The display scheme is implemented in the form of a library in C++20 language. The implementation uses acceleration by vectorization and allows easy parallelization by the user. The library provides tools for processing and visualization of large volumetric data on the CPU.
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Improvements of Shadow Rendering
Kobrtek, Jozef ; Kozlíková, Barbora (referee) ; Váša, Libor (referee) ; Herout, Adam (advisor)
Táto práca sa zaoberá inkrementálnym zlepšením techniky tieňových telies. V práci sa popisuje vylepšenie vykresľovania z pohľadu robustnosti kde bol navrhnutý nový spôsob deterministického výpočtu siluety na rôznych platformách. Táto technika bola v ďalšom kroku zjednodušená a celý algoritmus tieňových telies implementovaný prostredníctvom hardvérovej teselácie. Ďalej bola navrhnutá metóda akcelerovanej extrakcie siluety z modelu pomocou oktálového stromu. Navrhnuté metódy boli v závere porovnané s aktuálnymi modernými algoritmami s tvrdými všesmerovými tieňmi.
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3D Volume Rendering Data Visualization
Kazík, Jiří ; Španěl, Michal (referee) ; Kršek, Přemysl (advisor)
Theoretical part of this project is focused on rendering of volumetric data. It compares and appraise individual methods and thus readers get a good basic knowledge of commonnest causes of problems. Texture Mapped Volume Rendering is described in detail, because it is used in implementation of graphic system designed in this thesis. Whole system is created with maximal attention to platform independence. C++ language and Open Scene Graph toolkit are used for realization, so a brief description of OSG toolkit is also present in this work.
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Vertex and Pixel Shaders OpenGL Visualisation of Medical 3D Image Data
Vaďura, Jiří ; Španěl, Michal (referee) ; Kršek, Přemysl (advisor)
This thesis deals with accelerated 3D rendering of medical data, e.g. computed tomography, using a graphics processor and OpenGL library. Raw data slices are send to graphic memory and rendered by a ray-casting algorithm. The goal of this project is high quality visual output and full user interaction at the same time. Multiple rendering modes are avaiable to the user: MIP, X-Ray simulation and realistic shading.
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