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Railway Tracks Possessions Analysis
Šmíd, Tomáš ; Vévoda, Petr (referee) ; Svoboda, Richard (advisor)
The thesis deals with describing, evaluating, and proposing of possible changes in planning, placement and describing possession activities on railway lines in order to improve transmission and quality of the services provided by the SŽDC. The first chapter describes the environment of rail transport focusing mainly on law and regulations. The second chapter describes the aim of the study, additional category focuses on describing the method of processing of materials. The fifth chapter focuses on selected lines to describe the various closures in specific line sections. Sixth chapter aims on comparison methods of implementation lockout activities on examined lines. The last chapter has to summarize and evaluate results to submit any additional recommendations.
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Material picker: Material recognition in images using machine learning
Jurčák, Filip ; Vévoda, Petr (advisor) ; Šikudová, Elena (referee)
The process of setting material properties for realistic appearance after rendering is usually tiresome and often requires carefully crafted skill for fine-tuning the parameters, as different combinations of these parameters can produce different-looking materials. To simplify this process, we introduce a solution to the texture transfer problem by creating a pipeline containing several deep neural networks. These networks subsequently represent solutions to inverse rendering and material segmentation by predicting intrinsic scene characteristics, like diffuse and specular albedo, surface normals, glossiness, view vector, texture coordinates, and segmentation, all from a single image. Artists can subsequently plug these inferenced properties inside their 3D scene representations and thus reduce the time needed to iterate over several design ideas. To train these networks, we generated high-quality dataset of substantial size using physically-based techniques to ensure good generalization on real-world images. 1
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Advanced Monte Carlo methods in Image Synthesis
Vévoda, Petr ; Wilkie, Alexander (advisor)
Monte Carlo (MC) integration is an essential tool in many fields of science. In image synthesis, it has enabled photorealistic rendering results via physically based light trans- port simulation. However, an inherent problem of MC integration is variance causing noise in rendered images. This thesis presents three methods, each taking a different approach to variance reduction in rendering. The first approach focuses on improving the sampling technique. An adaptive solution is proposed for unbiased direct illumination sampling, employing Bayesian regression and a novel statistical model of direct illumination to achieve robustness. This method was integrated into a production renderer, demonstrating both its theoretical soundness and practical utility. The second approach explores the combination of multiple sampling techniques via multiple importance sampling (MIS). Optimal weighting functions are derived, proving to minimize the variance of MIS estimators. The new weights outperform all common heuristics and provide novel design considerations for selecting appropriate sampling tech- niques in integration problems. Finally, the third approach involves pre-computation to handle challenging scenarios effectively. Pre-computed reference images of a clear sky are used to create a high- quality fitted model,...
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Advanced Monte Carlo methods in Image Synthesis
Vévoda, Petr ; Wilkie, Alexander (advisor) ; Eisemann, Elmar (referee) ; Schudeiske, Johannes (referee)
Monte Carlo (MC) integration is an essential tool in many fields of science. In image synthesis, it has enabled photorealistic rendering results via physically based light trans- port simulation. However, an inherent problem of MC integration is variance causing noise in rendered images. This thesis presents three methods, each taking a different approach to variance reduction in rendering. The first approach focuses on improving the sampling technique. An adaptive solution is proposed for unbiased direct illumination sampling, employing Bayesian regression and a novel statistical model of direct illumination to achieve robustness. This method was integrated into a production renderer, demonstrating both its theoretical soundness and practical utility. The second approach explores the combination of multiple sampling techniques via multiple importance sampling (MIS). Optimal weighting functions are derived, proving to minimize the variance of MIS estimators. The new weights outperform all common heuristics and provide novel design considerations for selecting appropriate sampling tech- niques in integration problems. Finally, the third approach involves pre-computation to handle challenging scenarios effectively. Pre-computed reference images of a clear sky are used to create a high- quality fitted model,...
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Symmetry of triangle meshes
Vévoda, Petr ; Pelikán, Josef (advisor) ; Krajíček, Václav (referee)
Triangle meshes belong to methods of storing a surface of a threedimensional object in computer memory. A human face can be represented this way too. Findings about symmetry of faces are valuable for a variety of fields of study such as anthropology, medicine, criminalistics or psychology. For computing an approximate plane of symmetry of a face we have proposed an algorithm based on a gradient method, which minimizes distance between its mesh and its symmetric image over a set of all planes. However, it is possible to apply this algorithm to an arbitrary mesh and use its landmarks too. We have integrated the implementation covering also results visualization into Morphome3cs project focused on computations in anthropology.
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Integration of the Corona renderer into the ArchiCAD software
Špaček, Jan ; Křivánek, Jaroslav (advisor) ; Vévoda, Petr (referee)
Integration of the Corona renderer into the ArchiCAD software Bachelor thesis - Jan Špaček, 2018 We present a prototype of a plug-in that integrates Corona Renderer into Archi- CAD. We strive to make Corona in ArchiCAD as easy to use as in other graphics applications, so the user interface is a major concern in our plug-in. Special focus was given to interactive rendering, which has proved to be a technical challenge in other host applications. We give a brief overview of the APIs that we use and describe the architecture and implementation of the plug-in. We also present the performance of interactive rendering on various scenes. 1
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Robust light transport simulation in participating media
Vévoda, Petr ; Křivánek, Jaroslav (advisor) ; Wilkie, Alexander (referee)
Light transport simulation is used in realistic image synthesis to create physically plausible images of virtual scenes. Important components of the scenes are participating media (e.g. air, water, skin etc.). Efficient computation of light transport in participating media robust to their large diversity is still an open problem. We implemented the UPBP algorithm recently developed by Křivánek et al. It addresses the problem by combining several complementary previous methods using multiple importance sampling, and excels at rendering scenes where the previous methods alone fail. The implementation is available online, we focused on its thorough description to facilitate and support further research in this field. Powered by TCPDF (www.tcpdf.org)
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Symmetry of triangle meshes
Vévoda, Petr ; Pelikán, Josef (advisor) ; Krajíček, Václav (referee)
Triangle meshes belong to methods of storing a surface of a threedimensional object in computer memory. A human face can be represented this way too. Findings about symmetry of faces are valuable for a variety of fields of study such as anthropology, medicine, criminalistics or psychology. For computing an approximate plane of symmetry of a face we have proposed an algorithm based on a gradient method, which minimizes distance between its mesh and its symmetric image over a set of all planes. However, it is possible to apply this algorithm to an arbitrary mesh and use its landmarks too. We have integrated the implementation covering also results visualization into Morphome3cs project focused on computations in anthropology.
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Railway Tracks Possessions Analysis
Šmíd, Tomáš ; Vévoda, Petr (referee) ; Svoboda, Richard (advisor)
The thesis deals with describing, evaluating, and proposing of possible changes in planning, placement and describing possession activities on railway lines in order to improve transmission and quality of the services provided by the SŽDC. The first chapter describes the environment of rail transport focusing mainly on law and regulations. The second chapter describes the aim of the study, additional category focuses on describing the method of processing of materials. The fifth chapter focuses on selected lines to describe the various closures in specific line sections. Sixth chapter aims on comparison methods of implementation lockout activities on examined lines. The last chapter has to summarize and evaluate results to submit any additional recommendations.
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Programovací jazyk Lua a jeho možnosti využití v předmětu Programovací techniky
Vévoda, Petr
This bachelor thesis compares programming languages Pascal and Lua. This work starts with a brief history and description of both languages. It focuses on a comparison and description of key topics of programming languages in the scope of the course Programming Techniques, which is taught at the Mendel University in Brno, and covers the following topics: specific data types, creation of abstract data types and modules, object-oriented programming and interaction with operating system. Implementations of examples in both programming languages, which are then reviewed from didactic points of view, have been presented too. The main contribution consists of a definition of an advantages and disadvantages of using specific language as educational programming language. This text emphasises critical principles on which each of these two specific languages are based on. Conclusions of this work can be used for creating a course syllabus or as a way to make transition from one language to another easier for programmers.
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