National Repository of Grey Literature 213 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Landmark Detection in Medical Images Using Deep Neural Networks
Škandera, Juraj ; Španěl, Michal (referee) ; Kodym, Oldřich (advisor)
This thesis deals with detection of anatomical landmarks from cephalometric X-ray images using convolutional neural networks. Program works with public available dataset, which consists of side X-ray images of skull. There are two architectures of convolutional neural networks proposed in this thesis.  The best architecture achieves accuracy of 73.22% for detection within 5 mm. Program is created in Python language with use of Tensorflow framework.
Deep Learning for Medical Image Analysis
Dronzeková, Michaela ; Kodym, Oldřich (referee) ; Španěl, Michal (advisor)
The purpose of this thesis is to use convolutional neural networks for X-ray image classification of human body. Four different architectures of neural networks have been created. They were trained and tested on three tasks: classification of front and lateral chest, classification of X-ray images into several different categories and classification of diseases in chest X-ray. ResNet and SEResNet architectures achieved the best results. SEResNet scored 99,49% accuracy in the first task, ResNet achieved 94,97% accuracy in the second task and SEResNet reached 31,53% in the third task with F1 measure as metrics for evaluating results.
Watermarking 3D Models
Stehlík, Václav ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This bachelor's thesis is dedicated to embedding and extraction of watermarks to/from 3D models represented by polygonal mesh. The goal is to choose a suitable method for watermark embedding and extraction to/from a 3D model for the purpose of implementing a tool of such capabilities. The resulting solution uses methods proposed in article A Novel Blind Robust Digital Watermarking on 3D Meshes . Used methods create two watermarks. 'OTC' watermark that changes vertices of the model and 'Zero' watermark that does not change the model at all. These watermarks provide robustness against attacks and modification such as translation, scaling, rotation, simplification, random noise, remeshing and vertex reordering. Used methods also preserve imperceivability of watermark thanks to minimal changes of the model. Methods are blind and do not require original model. The tool is implemented in a form of simple web application which allows user to embed and extract watermark to/from files in stl format. This work includes testing and evaluation of success and usability of the tool against various attacks on chosen test set of models.
Restoration of X-Ray Images with Geometric Blur
Sokol, Juraj ; Španěl, Michal (referee) ; Hradiš, Michal (advisor)
This thesis aims to compare various image restoration methods on x-ray images. These methods use point spread function to remove blur introduced in images. These methods are experimentally compared.
Searching for Similar 3D Models
Šťáva, Zdeněk ; Veľas, Martin (referee) ; Španěl, Michal (advisor)
This paper deals with searching similar 3D models in a database containing up to thousands of models. It focuses in particular on the comparison of existing descriptors used to describe 3D models and the subsequent evaluation of similarity between models. In particular, the descriptors Rotation Invariant Spherical Harmonics and 3D Zernike Descriptor are compared. It also describes the use of libraries to extract these descriptors and to design of various experiments with these libraries over several object databases. It examines the effect of scale, translation, deformation and rotation of different 3D models on the resulting descriptor and the overall accuracy of both selected methods. These results compare.
User Interface for ARTable and Microsoft Hololens
Bambušek, Daniel ; Španěl, Michal (referee) ; Kapinus, Michal (advisor)
Tato práce se zaměřuje na použitelnost brýlí Microsoft HoloLens pro rozšířenou realitu v prototypu pracoviště pro spolupráci člověka s robotem - "ARTable". Použití brýlí je demonstrováno vytvořeným uživatelským rozhraním, které pomáhá uživatelům lépe a rychleji porozumět systému ARTable. Umožňuje prostorově vizualizovat naučené programy, aniž by bylo nutné spouštět samotného robota. Uživatel je veden 3D animací jednotlivých programů a hlasem zařízení, což mu pomůže získat jasnou představu o tom, co by se stalo, pokud by program spustil přímo na robotovi. Implementované řešení také umožňuje interaktivně provést uživatele celým procesem programování robota. Použití brýlí umožňuje mimo jiné zobrazit cenné prostorové informace, například vidění robota, tedy zvýraznit ty objekty, které jsou robotem detekovány.
Boolean Operations for Polygonal Meshes
Čižmarik, Roman ; Matýšek, Michal (referee) ; Španěl, Michal (advisor)
The aim of this work is to create a library for Boolean operations on 3D polygonal meshes. Resulting library has to support open models, its memory requirements shouldn't exceed those of existing solutions and it should, ideally, support multiple models. Most of the existing solutions are vulnerable to arithmetic inaccuracies, or do not support open meshes. The solution is based on Adaptive Mesh Booleans method which treats input models as adaptive surfaces. This method assumes that input models can be arbitrarily refined and no individual polygon is particularly important. Instead of computing exact polygon intersections, the input meshes are refined in intersection regions, intersecting polygons are discarded and created holes are closed. Advantages of this approach are robustness against numerical errors, support for open meshes, possibility to trade accuracy for computation time and ability to solve cases like co-planar and near-coincident regions. The resulting library offers three Boolean operations: union, difference and intersection.
Peer-To-Peer Web File Sharing in a Group
Pokorný, Filip ; Španěl, Michal (referee) ; Herout, Adam (advisor)
The diploma thesis deals with file sharing among users through peer-to-peer transfer in a web environment. The aim was to create a simple application which would provide a group of users with an opportunity to share files among them without any presence of third party or limitation. I have met the target using modern web technologies, of which the most important was WebRTC library through which peer-to-peer transfer has been implemented. These technologies were supported by optimased algorithm and the most recent tools for processing and storage of shared files. The result is a real-time application enabling users to create rooms, in which they can share their files. This product was subjected to speed tests, thanks to which the application turned out to be the fastest in the tested environment contrary to solutions with similar nature or any other commonly used tools for file sharing.
Evaluation of Methods of Stereo Image Processing
Juráček, Ivo ; Španěl, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis addresses the correlation between two pictures and its application to a real example using a camera which is a part of a stereo camera. It suggests how to use correlation to find specific patterns in pictures whereas it is possible to calculate the movement between two scaled pictures which is done by resampling. The accuracy of correlation is then shown when pictures are compensated using affine transformation in order to verify the accuracy of correlation. To further increase the correlation accuracy, it is possible to use a corner detector, it finds main points in a shot and then it searches for a match in another shot using correlation. Final results using this method are also mentioned in this thesis.
Acceleration of 3D Image Processing Using GPU
Jochlík, Jakub ; Klepárník, Petr (referee) ; Španěl, Michal (advisor)
This thesis proposes a solution for acceleration of large 3D image data filtering  by using the compute power of graphic cards. This solution uses OpenCL platform to dedicate all necessary computation onto graphical core of the graphic card and furthermore optimize this process using on-board local memory. Design and implementation of the mentioned approach is mainly focused on Sobel Operator.

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