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Dungeon Generator for Unreal Engine
Mořkovský, Samuel ; Vlnas, Michal (referee) ; Starka, Tomáš (advisor)
The work's purpose is to design and implement dungeon generator for a game engine Unreal Engine version 4. Plugin was selected as a form of work's result, which allows to integrate generator into an already existing project without the need to modify any source code. Parameters modifying the process of generation are passed from the user interface of Unreal Engine. Result of the process is a set of rooms and corridors connecting the rooms in a way that every room can be visited. All these objects are represented by 3D models in current level.
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Dungeon Generator for Unreal Engine
Mořkovský, Samuel ; Vlnas, Michal (referee) ; Starka, Tomáš (advisor)
The work's purpose is to design and implement dungeon generator for a game engine Unreal Engine version 4. Plugin was selected as a form of work's result, which allows to integrate generator into an already existing project without the need to modify any source code. Parameters modifying the process of generation are passed from the user interface of Unreal Engine. Result of the process is a set of rooms and corridors connecting the rooms in a way that every room can be visited. All these objects are represented by 3D models in current level.
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Computational study of initial stages of metal film growth
Soukup, Jindřich ; Hrach, Rudolf (advisor) ; Novotný, Dušan (referee)
This work deals with the description and analysis of image data, which related to the initial stages of the thin film growth. The introductory retrieval section includes a description of thin films and methods of their deposition. The following part is an overview of the growth models of thin layers. The heart of my thesis is the analysis and modification of morphological methods and interpretation of their results. The emphasis is placed on the statistical aspect of methods and their optimal implementation due to the accuracy of the results. The work shows how to modify the radial distribution function and methods based on so-called Voronoi and Delaunay triangulation tessellation so that they can better affect the character of test data. New methods are tested both on the experimental and model data. Then we examine their robustness, sensitivity and their mutual independence. At the conclusion it is introduced and analyzed a new model of thin film growth.
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Computational study of initial stages of metal film growth
Soukup, Jindřich
This work deals with the description and analysis of image data, which related to the initial stages of the thin film growth. The introductory retrieval section includes a description of thin films and methods of their deposition. The following part is an overview of the growth models of thin layers. The heart of my thesis is the analysis and modification of morphological methods and interpretation of their results. The emphasis is placed on the statistical aspect of methods and their optimal implementation due to the accuracy of the results. The work shows how to modify the radial distribution function and methods based on so-called Voronoi and Delaunay triangulation tessellation so that they can better affect the character of test data. New methods are tested both on the experimental and model data. Then we examine their robustness, sensitivity and their mutual independence. At the conclusion it is introduced and analyzed a new model of thin film growth.
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Procedural Generation of Dungeon Type Structures
Šipoš, Marek ; Rychlý, Marek (referee) ; Bartík, Vladimír (advisor)
The main aim of this bachelor thesis was to design and develop a library for procedural generation of dungeons and web application for its practical use. The library offers a configuration interface, output generation according to this configuration and file support. The web application allows the visualization of the obtained input. The implementation was done in Java language.
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Computational study of initial stages of metal film growth
Soukup, Jindřich
This work deals with the description and analysis of image data, which related to the initial stages of the thin film growth. The introductory retrieval section includes a description of thin films and methods of their deposition. The following part is an overview of the growth models of thin layers. The heart of my thesis is the analysis and modification of morphological methods and interpretation of their results. The emphasis is placed on the statistical aspect of methods and their optimal implementation due to the accuracy of the results. The work shows how to modify the radial distribution function and methods based on so-called Voronoi and Delaunay triangulation tessellation so that they can better affect the character of test data. New methods are tested both on the experimental and model data. Then we examine their robustness, sensitivity and their mutual independence. At the conclusion it is introduced and analyzed a new model of thin film growth.
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Computational study of initial stages of metal film growth
Soukup, Jindřich ; Hrach, Rudolf (advisor) ; Novotný, Dušan (referee)
This work deals with the description and analysis of image data, which related to the initial stages of the thin film growth. The introductory retrieval section includes a description of thin films and methods of their deposition. The following part is an overview of the growth models of thin layers. The heart of my thesis is the analysis and modification of morphological methods and interpretation of their results. The emphasis is placed on the statistical aspect of methods and their optimal implementation due to the accuracy of the results. The work shows how to modify the radial distribution function and methods based on so-called Voronoi and Delaunay triangulation tessellation so that they can better affect the character of test data. New methods are tested both on the experimental and model data. Then we examine their robustness, sensitivity and their mutual independence. At the conclusion it is introduced and analyzed a new model of thin film growth.
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Vektorová segmentace objemových medicínských dat založená na Delaunay triangulaci
Španěl, Michal ; Martišek, Dalibor (referee) ; Sochor, Jiří (referee) ; Kršek, Přemysl (advisor)
Image segmentation plays an important role in medical image analysis. Many segmentation algorithms exist. Most of them produce data which are more or less not suitable for further surface extraction and anatomical modeling of human tissues. In this thesis, a novel segmentation technique based on the 3D Delaunay triangulation is proposed. A modified variational tetrahedral meshing approach is used to adapt a tetrahedral mesh to the underlying CT volumetric data, so that image edges are well approximated in the mesh. In order to classify tetrahedra into regions/tissues whose characteristics are similar, three different clustering schemes are presented. Finally, several methods for improving quality of the mesh and its adaptation to the image structure are also discussed.
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Navigation of mobile robots
Rozman, Jaroslav ; Matoušek,, Václav (referee) ; Šolc, František (referee) ; Zbořil, František (advisor)
Mobile robotics has been very discussed and wide spread topic recently. This due to the development in the computer technology that allows us to create better and more sophisticated robots. The goal of this effort is to create robots that will be able to autonomously move in the chosen environment. To achieve this goal, it is necessary for the robot to create the map of its environment, where the motion planning will occur. Nowadays, the probabilistic algorithms based on the SLAM algorithm are considered standard in the mapping in these times. This Phd. thesis deals with the proposal of the motion planning of the robot with stereocamera placed on the pan-and-tilt unit. The motion planning is designed with regard to the use of algorithms, which will look for the significant features in the pair of the images. With the use of the triangulation the map, or a model will be created. The benefits of this work can be divided into three parts. In the first one the way of marking the free area, where the robot will plan its motion, is described. The second part describes the motion planning of the robot in this free area. It takes into account the properties of the SLAM algorithm and it tries to plan the exploration in order to create the most precise map. The motion of the pan-and-tilt unit is described in the third part. It takes advantage of the fact that the robot can observe places that are in the different directions than the robot moves. This allows us to observe much bigger space without losing the information about the precision of the movements.
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Attributes Calculation for Prediction of Mutation Effect on Protein Function
Šinkora, Jan ; Filák, Jakub (referee) ; Jaša, Petr (advisor)
This thesis deals with issues of bioinformatics, machine learning, algorithms and data structures. The thesis is based on existing applications, Caver and Deleterious, developed by students from the Faculty of Informatics, Masaryk University and the Faculty of Information Technology, Brno University of Technology. The Deleterious framework calculates protein attributes that are important for the prediction of the effect of protein mutations on its function. Caver is a tool that finds tunnels in the 3-dimensional model of a protein. The goal of the thesis is to extend these applications by adding more attributes to the prediction process that could lead to improved prediction. The added attributes are related to detection and measurement of protein pockets.
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