National Repository of Grey Literature 97 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
BRDF Editor
Waltl, Jan ; Pelikán, Josef (advisor) ; Kondapaneni, Ivo (referee)
Title: BRDF Editor Author: Jan Waltl Department: Department of Software and Computer Science Education Supervisor: RNDr. Josef Pelik'an, Department of Software and Computer Science Education Abstract: The goal of this thesis is to create a working environment for the development and testing of bidirectional reflectance functions (BRDFs). The result of our work is a graphical application that offers tools to write these BRDFs, see how they behave on dynamic 2D graphs and in simple scenes. To achieve this, we created a general framework for physically based rendering algorithms. With the help of accelerating in hardware, in particular graphics cards(GPUs), we use OpenCL API to boost performance and allow interactive work with the developed functions. As part of the work, we implemented the path tracing algorithm capable of rendering realistic-looking scenes with indirect lighting from area lights and an environment light. The used algorithm uses importance sampling to greatly improve convergence speed and allows writing these custom sampling strategies for the written BRDFs and seeing how they match the BRDF, thus testing their effectiveness. Keywords: BRDF OpenCL photo-realistic rendering path tracing GPU iii
Visualization for Ray-tracing
Vozár, Jaroslav ; Pelikán, Josef (advisor) ; Kondapaneni, Ivo (referee)
The aim of this work is to extend the existing image-rendering program based on ray- tracing. As this existing program is used to teach computer graphics at the Faculty of Mathematics and Physics of the Charles University, expanding tools provide the way to a simpler understanding of the substance. This includes statistics, analytical maps and especially the ability to track the rendering ray directly in the 3D scene. The last mentioned extension is essential and most useful for understanding deeper ray-tracing principles. In addition to facilitating the understanding of one of the main rendering techniques in computer graphics, these extensions will also help create homework for computer graphics subjects.
Statistical model of the face shape
Boková, Kateřina ; Pelikán, Josef (advisor) ; Krajíček, Václav (referee)
The goal of this thesis is to use machine learning methods for datasets of scanned faces and to create a program that allows to explore and edit faces represented as triangle meshes with a number of controls. Firstly we had to reduce dimension of triangle meshes by PCA and then we tried to predict shape of meshes according to physical properties like weight, height, age and BMI. The modeled faces can be used in animation or games.
PaunPacker - Texture Atlas Generator
Dokoupil, Patrik ; Ježek, Pavel (advisor) ; Pelikán, Josef (referee)
The goal of this thesis was to create an extensible application for packing textures into texture atlases, that could then be used in 2D game development. The extensibility lies in the possibility to create and import plugins, containing algorithms for packing, image processing, and metadata exporting. The ability to extend the application by means of plugins makes our application also suitable for testing of newly invented algorithms or for testing of custom variations of the existing ones. The software solution includes application with user interface that allows the user to create texture atlases and perform additional processing of the textures. Apart from that, we have also included several default implementations of some of the extensible components, namely: placement algorithms, image processing tools and metadata exporters. The concrete algorithms that are implemented in our solution are (among others): Bottom-left algorithm, Skyline algorithm, Guillotine algorithm and also a genetic-based algorithm. All of that can be used as a starting point when developing new plugins. In addition to generating texture atlases, our application can also generate meta- data, that can then be imported by supported game frameworks or libraries. The process of metadata serialization is also customizable, and so users...
Point cloud video for HoloLens
Mačák, Adrián ; Pelikán, Josef (advisor) ; Dupej, Ján (referee)
The development of virtual and augmented reality headsets opens up many possibil- ities for using these technologies in industry, entertainment and other sectors. The aim of this work is to explore the possibilities and design the applications, that will ensure that by using Microsoft Hololens v1 and Microsoft Kinect v2 there will be a possibility to capture, process, transfer and render dynamic point cloud on the HoloLens side. The functionality is divided between three applications. The first one is a desktop application on which the capturing, processing, and a server is running. The second application, the client application, provides rendering and the user interface on HoloLens side. The third application is used to test the network throughput, simulating the point cloud video transmission. This work describes the process of how to connect a sensor to the computer, looking at yourself from a bird's eye view, and the night vision that has come out of it. The results are applications that can do these in real time. 1
Statistical model of the face shape
Boková, Kateřina ; Pelikán, Josef (advisor) ; Krajíček, Václav (referee)
The goal of this thesis is to use machine learning methods for datasets of scanned faces and to create a program that allows to explore and edit faces represented as triangle meshes with a number of controls. Firstly we had to reduce dimension of triangle meshes by PCA and then we tried to predict shape of meshes according to physical properties like weight, height, age and BMI. The modeled faces can be used in animation or games.
Interactive Processing of Volumetric Data
Kolomazník, Jan ; Pelikán, Josef (advisor) ; Czanner, Silvester (referee) ; Dokládal, Petr (referee)
Title: Interactive Processing of Volumetric Data Author: Jan Kolomazník Department: Department of Software and Computer Science Education Supervisor: RNDr. Josef Pelikán, Department of Software and Computer Science Education Abstract: Interactive visualization and segmentation of volumetric data are quite lim- ited due to the increased complexity of the task and size of the input data in comparison to two-dimensional processing. A special interactive segmentation workflow is presented, based on minimal graph-cut search. The overall execution time was lowered by implementing all the computational steps on GPU, which required a design of massively parallel algorithms (using thousands of threads). To lower the computational burden even further the graph is constructed over the image subregions com- puted by parallel watershed transformation. As a suitable formalism for a range of massively parallel algorithms was chosen cellular automata. A set of cellular automata extensions was defined, which allows efficient mapping and computation on GPU. Several variants of parallel watershed transformation are then defined in the form of cellular automaton. A novel form of 2D transfer function was presented, to improve direct volume visualization of the input data, suited for discriminating image features by their shape and...
Using DNN for triangular network analysis in geometric morphometry
Dvořáková, Gabriela ; Pelikán, Josef (advisor) ; Dupej, Ján (referee)
The aim of this thesis is to use deep learning for the task of 3D object recognition. Deep learning has been succesfully used for three dimensional data recognition. However, most of the published work chose to represent 3D objects as a set of projected 2D pixel images or in the form of binary voxels. The main goal is to propose an alternative mapping of 3D data to the NN input. Three data representations are introduced: Treating vertex coordinates as a 1D array, projection to a 2D grid and a set of surface oblique lines crossing the sig- nificant parts of an object. All of the proposed data representations are tested for the gender classification task using NN and CNN on 3D facial models. We analyzed the impact of coordinate relativization and a new modified dataset crea- ted by extracting a nose area from original triangle meshes. Experimental results confirmed the quality of the oblique lines approach with achieved classification accuracies of 84, 2% using CNN. 1
Visualization of the difference between two triangle meshes
Horešovský, Jan ; Pelikán, Josef (advisor) ; Dupej, Ján (referee)
Visualization of the difference between two triangle meshes is useful in geometric morphometrics where the shapes of biological objects such as bones, facial symme- tries and others are studied. Existing visualizations are mostly done by encoding various difference metrics into vertex color. However, this one-dimensional infor- mation is not enough to display multiple metrics at the same time. To overcome this limitation, we implemented an algorithm which employs the techniques of vector field visualization and uses clustered 3D arrows to encode the metrics. Focusing on visual appearance, we applied it in several types of visualizations in an experimental application called MeshDiff. We also conducted a user study of both existing and new visualizations to compare their performance in various use cases and investigate the possibilities for future improvement. 1

National Repository of Grey Literature : 97 records found   1 - 10nextend  jump to record:
See also: similar author names
4 Pelikán, Jakub
1 Pelikán, Jan
3 Pelikán, Jaroslav
2 Pelikán, Jiří
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