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Zobrazování animovaných oblaků v reálném čase / Real-Time Cloud RenderingKučera, Vít Unknown Date (has links)
Clouds are ubiquitous and ever-changing feature of the outdoors. They are an integral factor in Earth's weather systems. Component of water circulation in a nature and a strong indicator of weather patterns and changes. Clouds are important component of the visual simulation of any outdoor scene, but the complexity of cloud formation, dynamics, and light interaction makes cloud simulation and rendering difficult in real time. In an interactive flight simulation, users would like to fly in and around realistic, volumetric clouds. I Present, two main ways of representation cloud in computer graphic, where one way use for modelling Perlin noise and second one use for modelling fluid dynamic system.
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Procedural Worlds : A proposition for a tool to assist in creation of landscapes byprocedural means in Unreal Engine 5Sjögren, Viktor, Malteskog, William January 2023 (has links)
This thesis explores the possibilities of creating landscapes through procedural means within the game engine Unreal Engine 5. The aim is to provide a flexible procedural landscape tool that doesn't limit the user and that is compatible with existing systems in the engine. The research questions focuses on comparison to other work regarding landscape generation and generation of procedural roads. The process to achieve this was done through extensive implementation adding modules that both builds upon and adds to the source code. The implementation was divided into five major components, which was noise generation for terrain, biotope interpolation, asset distribution, road generation and a user interface. Perlin noise, utilizing Fractal Brownian Motion were a vital part of generating terrain with varying features. For interpolation a modified version of Lowpass Gaussian filtering was implemented in order to blend biotope edges together. Asset distribution and road generation were implemented in a way that uses pseudo-randomness combined with heuristics. The user interface was done to tie everything together for testing. The results shows potential for assisting in procedural landscape creation with a large amount of freedom in customization. There is however flaws in some aspects, namely the interpolation methods suffer from clear visual artefacts. Whether it is suitable for professional standards remains to be fully proven objectively as the testing in this thesis work was limited.
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Grafické intro 64kB s použitím OpenGL / Graphics Intro 64kB Using OpenGLBurkot, Martin January 2011 (has links)
This thesis deals with the creation of minimal graphics intro. Intro size is not extending 64kB. The base of the intro is procedurally generated terrain supplemented with procedural vegetation and texture representing clouds. It also has terrain texture and imported 3D models. As background music is music playing.
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Generování komplexních procedurálních terénů na GPU / Generating Complex Procedural Terrains Using the GPURyba, Jan January 2011 (has links)
Generating fully 3D terrains is a dificult task, meaning that we need to store a lot of data or do a lot of computing or both. We can reduce or completly eliminate the data srorage by using a procedural approch, but this is where the problem gets realy computationaly costly and the CUDA platform comes in. CUDA kernels runinng parallely on graphic accelerators can rapidly decrease time needed for computation, allowing even these complex calculations to work in real time or even better. Finding its use in game or movie industry.
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Grafické intro 64kB s použitím OpenGL / Graphics Intro 64kB Using OpenGLJuránková, Markéta January 2010 (has links)
The aim of the master's thesis is to create a graphic intro with the limited size of 64kB. Brief history of a demoscene and the graphics library OpenGL is introduced in the following text. The main part of the work is a description of minimal graphics techniques used in a creative process and their further application in the final programme.
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Knihovna pro výpočet šumů používaných v procedurálním texturování / Library for Evaluation of Noises Used in Procedural TexturingKučera, Ondřej Unknown Date (has links)
The aim of the work is to describe procedural texturing and usage of a noise for creating textures of real materials. The reader will learn the fundamentals of the noise, its properties and a way of using it. Random numbers and interpolation methods are important parts of the noise evaluations, therefore there are chapters about random numbers generating and interpolation methods. Obviously, there is not missing the chapter, which is depicting properties and principles of several methods of creating noise. The main part of this work is effective implementation of library with a chosen noise methods, so next chapters are about choosing methods and design of the interface, implementation and many kinds of tests and optimalizations. Achieved results and final conclusions are at the end of this work.
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A Study on Controllability for Automatic Terrain GeneratorsArnoldsson, Anton January 2017 (has links)
Procedural Content Generators (PCG) typically excel at generating a large amount of content in a short period of time. Whilst this is making PCG very applicable for the game industry, simplistic implementations of PCG lack in Usability whereas complex implementations of PCG lack in Controllability. The purpose of this study is therefore to deepen our understanding on the correlation between Controllability and Usability in algorithmic generators that utilizes a generic and constructive approach to generate terrain in games.Furthermore the findings in this study can be used in the field of procedural terrain generators to study deterministic generators that utilize Automatic generation, from a Usability or Controllability perspective.
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Modelování a zobrazování pomocí blobů / Modelling and Rendering Using BlobsBaštek, Jozef January 2011 (has links)
This thesis deals with blobs modeling and visualizing (iso-surfaces, implicit-surfaces). It includes implementation of full-featured editor of these objects. It provides real-time operations over surfaces. The work also contains its motivation - where this modeling technique comes from, required equations and computations needed for surface rendering and algorithms used for blobs visualization.
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Grafické demo s inverzní kinematikou / Graphics Demo with Inverse KinematicsKárníková, Pavlína January 2010 (has links)
This work deals with the creation of a graphic demo with the use of inverse kinematics. It explains the motivations that led to the creation of the demo; it briefly mentions the history of the demo as well as the principles of animation. It describes in detail the fundamentals of inverse kinematics as well as the terminology needed for the understanding of inverse kinematics. It also includes some selected algorithms. The issue of inverse kinematics is further developed in the part of the work where the principles of skinning are being described. The principles of the collision detection are also mentioned here. The conclusion consists of a detailed explanation of some of the techniques used in graphic demo, such as the L-systems or procedural textures.
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Exploring feasibility of reinforcement learning flight route planning / Undersökning av använding av förstärkningsinlärning för flyruttsplanneringWickman, Axel January 2021 (has links)
This thesis explores and compares traditional and reinforcement learning (RL) methods of performing 2D flight path planning in 3D space. A wide overview of natural, classic, and learning approaches to planning s done in conjunction with a review of some general recurring problems and tradeoffs that appear within planning. This general background then serves as a basis for motivating different possible solutions for this specific problem. These solutions are implemented, together with a testbed inform of a parallelizable simulation environment. This environment makes use of random world generation and physics combined with an aerodynamical model. An A* planner, a local RL planner, and a global RL planner are developed and compared against each other in terms of performance, speed, and general behavior. An autopilot model is also trained and used both to measure flight feasibility and to constrain the planners to followable paths. All planners were partially successful, with the global planner exhibiting the highest overall performance. The RL planners were also found to be more reliable in terms of both speed and followability because of their ability to leave difficult decisions to the autopilot. From this it is concluded that machine learning in general, and reinforcement learning in particular, is a promising future avenue for solving the problem of flight route planning in dangerous environments.
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