This Master's thesis deals with the design and development of tools for generating a synthetic dataset for traffic analysis purposes. The first part contains a brief introduction to the vehicle detection and rendering methods. Blender and the set of scripts are used to create highly customizable training images dataset and synthetic videos from a single photograph. Great care is taken to create very realistic output, that is suitable for further processing in field of traffic analysis. Produced images and videos are automatically richly annotated. Achieved results are tested by training a sample car detector and evaluated with real life testing data. Synthetic dataset outperforms real training datasets in this comparison of the detection rate. Computational demands of the tools are evaluated as well. The final part sums up the contribution of this thesis and outlines some extensions of the tools for the future.

Photorealistic rendering has a wide variety of applications, and so there are many rendering algorithms and their variations tailored for specific use cases. Even though practically all of them do physically-based simulations of light transport, their results on the same scene are often different - sometimes because of the nature of a given algorithm or in a worse case because of bugs in their implementation. It is difficult to compare these algorithms, especially across different rendering frameworks, because there is not any standardized testing software or dataset available. Therefore, the only way to get an unbiased comparison of algorithms is to create and use your dataset or reimplement the algorithms in one rendering framework of choice, but both solutions can be difficult and time-consuming. We address these problems with our test suite based on a rigorously defined methodology of evaluation of light transport algorithms. We present a scripting framework for automated testing and fast comparison of rendering results and provide a documented set of non-volumetric test scenes for most popular research-oriented render- ing frameworks. Our test suite is easily extensible to support additional renderers and scenes. 1

The goal of this project is to inform a reader about compact workflow of creating complex computer animation using 3D modelling and animation software 3ds Max. It guides him through the whole process from creating models, texturing and skinning them, to animation pointed at more difficult parts of the animation process. Beside the practical examples, this paper includes necessary theoretical explanation of particular problems. After reading this paper, the reader should be well acquainted with the compact process of creating the complex animation.

Cílem této práce je demonstrovat možnost renderování srsti přímo do existujících obrazů bez toho, aby bylo po uživateli požadováno překreslení všech pixelů nebo dodání kompletní 3D geometrie a osvětlení. Srst je přidána na povrch objektů pomocí extrakce jejich přibližného tvaru a světelných informací z obrazu a takto získaný objekt je poté přerenderován. Tento přístup je nový v tom, že vysokoúrovňové úpravy obrazu (jako např. přidání srsti), mohou úspěšně vést k vizuálně korektním výsledkům a to i přes omezení nepřesnou geometrií a světelnými podmínkami. Relativně velká množina technik použitých v této práci zahrnuje obrazy s velkým dynamickým rozsahem, metody extrakce 3D tvaru z obrazu, výsledky výzkumu vnímání tvaru a osvětlení a fotorealistické renderování. Hlavním cílem práce je potvrdit koncept popsaný výše. Hlavním implementačním jazykem bylo C++ s použitím knihoven wxWidgets, OpenGL a libTIFF. Renderování bylo realizováno v software 3Delight kompatibilním se standardem Renderman, za pomoci množiny shaderů implementovaných v nativním jazyce Rendermanu.

Following work deals with subject matter of digital modelling and animation of biological structures. Software tools for computer generated images (CGI), well proven in common practice, are evaluated, as well as tools for specific activities, available inside chosen software environment. Among vast pool of modelling approaches are discussed tools suitable for creation and representation of selected structures, along with tools essential for their consequent animation. Possible rendering approaches and their parameters in relation to qualities of resulting computer-generated images are discussed as well. Above-mentioned approaches will be consequently utilized for modelling, physical simulation and animation of erythrocyte’s flow throughout blood vessel in following project. Resulting output of that work will be based on series of digital images, suitable for creating video-sequence containing abovementioned animation in end-user digestible form.

Following work deals with subject matter of digital modelling and animation of biological structures. Software tools for computer generated images (CGI), well proven in common practice, are evaluated, as well as tools for specific activities, available inside chosen software environment. Among vast pool of modelling approaches are discussed tools suitable for creation and representation of selected structures, along with tools essential for their consequent animation. Possible rendering approaches and their parameters in relation to qualities of resulting computer-generated images are discussed as well. Above-mentioned approaches will be consequently utilized for modelling, physical simulation and animation of erythrocyte’s flow throughout blood vessel in following project. Resulting output of that work will be based on series of digital images, suitable for creating video-sequence containing abovementioned animation in end-user digestible form.