National Repository of Grey Literature 36 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Tree trunk detection and recognition in images
Šalomon, Filip ; Hoderová, Jana (referee) ; Procházková, Jana (advisor)
This thesis deals with detection of circular shapes in images -- forest scan cross-sections. Freeman chain code algorithm is used for image segmentation. Ransac (Random Sample Consensus) algorithm is used for diameter measurement. The designed algorithm is tested on data from Žofín Forest.
Capturing Very High Quality Images of Planar Surfaces by a Smartphone
Masaryk, Adam ; Bartl, Vojtěch (referee) ; Herout, Adam (advisor)
The aim of this thesis is to create a mobile application for Android, which allows users to create high-quality photos of planar objects. User can create multiple photographs of a selected planar object. These photographs are then aligned and combined into one final image. Various shortcomings that can be present in the photographs are filtered.
Approximation surfaces for 3D data
Valachová, Alžbeta ; Novák, Jiří (referee) ; Procházková, Jana (advisor)
This bachelor thesis is dealing with approximation surfaces for 3D data using methods such as RANSAC, least square method and B-spline surface. Its goal is to study and program these methods. First, the methods are described and then the actual programs are analysed. In the end of the thesis, we compare all three methods using data from 3D scanning. Through this effort we can assess their positives and negatives.
Deep Neural Networks for Landmark Detection on 3D Models
Kubík, Tibor ; Kodym, Oldřich (referee) ; Španěl, Michal (advisor)
Detekcia významných bodov je častým krokom pri analýze medicínskych dát. Čoraz bežnejšie sú tieto dáta reprezentované vo forme 3D modelov, príkladom sú povrchové skeny zubného oblúka pacienta. Hlboké neurónové siete sú vhodný spôsob, ako detekovať významné body v obraze. V prípade 3D dát je však toto spracovanie časovo i pamäťovo náročné, čo nevyhovuje požiadavkám kladeným medicínskymi aplikáciami. V tejto práci navrhujem metódu, ktorá tento problém eliminuje a detekuje významné body na povrchu polygonálnych modelov čeľustí. V metóde sú použité rôzne architektúry neurónových sietí, založené na architektúre U-Net. Viacpohľadový prístup presúva spracovanie do 2D, kde navrhnuté architektúry detekujú body regresiou tepelných máp z niekoľkých pohľadov. Pomocou konsezus metódy je následne z týchto pohľadov určená konečná pozícia bodov v 3D priestore. V práci sú predstavené experimenty s dvoma konsenzus metódami: stredná hodnota predikcií a geometrický prístup založený na algoritme RANSAC a metóde najmenších štvorcov. Experimenty ukázali, že varianta kombinujúca Attention U-Net, 100 pohľadov a geometrickú konsenus metódu je schopná detekovať významné body s chybou 1.20 +- 1.81 mm, pričom 94.01% predikcií dosahuje chybu menšiu ako 2 mm.
Identification of 3D objects for Robotic Applications
Hujňák, Jaroslav ; Návrat, Aleš (referee) ; Matoušek, Radomil (advisor)
This thesis focuses on robotic 3D vision for application in Bin Picking. The new method based on Conformal Geometric Algebra (CGA) is proposed and tested for identification of spheres in Pointclouds created with 3D scanner. The speed, precision and scalability of this method is compared to traditional descriptors based method. It is proved that CGA maintains the same precision as the traditional method in much shorter time. The CGA based approach seems promising for the use in the future of robotic 3D vision for identification and localization of spheres.
Stitching of Retinal Images
Hladyuk, Vadym ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
The purpose of this work is to create a complete picture of the retina, by stitching together a number of partial photos. Since there is no working solution which would be able to capture the entire retina in one picture, this is an important problem to cover. The results will be demonstrated at the end of the text. The problem of stitching partial pictures together was solved by extracting vessels in retinal images, finding key points in images, finding common key points, calculating a transformation matrix and transforming one image into another. After a consultation with an ophthalmologist I was able to define steps which will allow me to further improve the work, which are analyzed in texts. The thesis will provide the reader knowledge about the eye apparatus. It will also introduce field of color models, image formats, algorithms for searching for key points, the transformation of the images themselves and it will also provide a possible way to compose retinal images and also suggest possible improvements.
Traffic Violation Detection on Crossroads
Karpíšek, Miroslav ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This bachelor thesis presents procedure for the detection of red-light violation. In the theoretical part of the thesis, the current solution aproaches used in image processing are described. The practical part focuses on creation of program for automatic traffic corridors detection, vehicle tracking and the current traffic light state detection. The results obtained by experimenting with the proposed procedure and the possibilities of its further improvement are also discussed.
Analysis of ZED stereocamera in outdoor environment
Svoboda, Ondřej ; Věchet, Stanislav (referee) ; Krejsa, Jiří (advisor)
The Master thesis is focused on analyzing stereo camera ZED in the outdoor environment. There is compared ZEDfu visual odometry with commonly used methods like GPS or wheel odometry. Moreover, the thesis includes analyses of SLAM in the changeable outdoor environment, too. The simultaneous mapping and localization in RTAB-Map were processed separately with SIFT and BRISK descriptors. The aim of this master thesis is to analyze the behaviour ZED camera in the outdoor environment for future implementation in mobile robotics.
Visual odometry for robotic vehicle Car4
Szente, Michal ; Krejsa, Jiří (referee) ; Najman, Jan (advisor)
This thesis deals with algorithms of visual odometry and its application on the experimental vehicle Car4. The first part contains different researches in this area on which the solution process is based. Next chapters introduce theoretical design and ideas of monocular and stereo visual odometry algorithms. The third part deals with the implementation in the software MATLAB with the use of Image processing toolbox. After tests done and based on real data, the chosen algorithm is applied to the vehicle Car4 used in practical conditions of interior and exterior. The last part summarizes the results of the work and address the problems which are asociated with the application of visual obmetry algorithms.
Point cloud clustering
Mrkvička, Daniel ; Štarha, Pavel (referee) ; Procházková, Jana (advisor)
This bachelor's thesis deals with the point cloud clustering. It focuses on surface detection in three-dimensional space. It describes in particular the methods that are used for plane detection. It also describes the concrete implementation of one of these method, the RANSAC, and examines its practical application for roof detection.

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